OpenCV Alternatives

Manage unstructured data and pipelines to develop AI solutions at amazing speed. Enterprise-grade data platform for vision AI. Dataloop is a one-stop shop for building and deploying powerful computer vision pipelines data labeling, automating data ops, customizing production pipelines and weaving the human-in-the-loop for data validation. Our vision is to make machine learning-based systems accessible, affordable and scalable for all. Explore and analyze vast quantities of unstructured data from diverse sources. Rely on automated preprocessing and embeddings to identify similarities and find the data you need. Curate, version, clean, and route your data to wherever it’s needed to create exceptional AI applications.

Amazon Rekognition makes it easy to add image and video analysis to your applications using proven, highly scalable, deep learning technology that requires no machine learning expertise to use. With Amazon Rekognition, you can identify objects, people, text, scenes, and activities in images and videos, as well as detect any inappropriate content. Amazon Rekognition also provides highly accurate facial analysis and facial search capabilities that you can use to detect, analyze, and compare faces for a wide variety of user verification, people counting, and public safety use cases. With Amazon Rekognition Custom Labels, you can identify the objects and scenes in images that are specific to your business needs. For example, you can build a model to classify specific machine parts on your assembly line or to detect unhealthy plants. Amazon Rekognition Custom Labels takes care of the heavy lifting of model development for you, so no machine learning experience is required.

Boost content discoverability, automate text extraction, analyze video in real time, and create products that more people can use by embedding vision capabilities in your apps. Use visual data processing to label content with objects and concepts, extract text, generate image descriptions, moderate content, and understand people’s movement in physical spaces. No machine learning expertise is required.

Chooch is an industry-leading, full lifecycle AI-powered computer vision platform that detects visuals, objects, and actions in video images and responds with pre-programmed actions using customizable alerts. It services the entire machine learning AI workflow from data augmentation tools, model training and hosting, edge device deployment, real-time inferencing, and smart analytics. This provides organizations with the ability to apply computer vision in the broadest variety of use cases from a single platform. Chooch AI Vision can be deployed quickly with ReadyNow models for the most common use cases like fall detection and workplace safety, face recognition, demographics, weapon detection, and more. Using existing cameras and edge infrastructure, models can be deployed to video streams detecting patterns and anomalies and witness real-time insights in seconds.

SimpleCV is an open-source framework for building computer vision applications. With it, you get access to several high-powered computer vision libraries such as OpenCV, without having to first learn about bit depths, file formats, color spaces, buffer management, eigenvalues, or matrix versus bitmap storage. This is computer vision made easy. These are just a small number of things you can do with SimpleCV. If you would like to learn more please refer to our tutorial. There are also many examples included in the SimpleCV directory under the examples folder which can also be downloaded from here. SimpleCV is an open-source framework, meaning that it is a collection of libraries and software that you can use to develop vision applications. It lets you work with the images or video streams that come from webcams, Kinects, FireWire and IP cameras, or mobile phones. It helps you build software to make your various technologies not only see the world but understand it too.

Kibsi is the no-code computer vision platform to build and launch video AI solutions in minutes – not months. Stretch your tech without spending a fortune. From security cameras to webcams, Kibsi converts any live stream camera feed into rich streams of insights and data. View live data, uncover trends, trigger alerts, and automate actions that empower analysts and business leaders with real-time understanding and historical analysis. Kibsi does more than just identify objects, it adds context and relational rules to computer vision through machine learning and proprietary algorithms. Kibsi’s no-code, drag-and-drop experience gets you answers faster. Computer vision programmers and developers are welcome but certainly not required. With 1000s of ready-to-use, built-in objects and classes, you can start getting insights right away. Of course, adding your own objects is easy and automated, too.

Folio3 machine learning company has a team of dedicated Data Scientists and Consultants that have delivered end-to-end projects related to machine learning, natural language processing, computer vision and predictive analysis. Artificial Intelligence and Machine Learning algorithms have enabled companies to utilize highly-customized solutions equipped with advanced Machine Learning capabilities. Computer vision technology has scaled up visual data analysis, introduced new image- based functionalities and transformed the way companies from various verticals utilize visual content. Predictive analytics solutions offered by Folio3 produce effective and fast results, enabling you to identify opportunities and anomalies in your business processes and strategy.

Add computer vision (CV) to your existing fleet of cameras with AWS Panorama devices, which integrate seamlessly with your local area network. Make predictions locally with high accuracy and low latency from a single management interface, where you can analyze video feeds in milliseconds. Process video feeds at the edge, so you can control where your data is stored and operate with limited internet bandwidth. AWS Panorama is a collection of machine learning (ML) devices and a software development kit (SDK) that brings CV to on-premises internet protocol (IP) cameras. Easily track throughput, optimize freight operations, and recognize objects such as parts or products, or text in labels or barcodes. Monitor traffic lanes for issues such as stopped vehicles, and send real-time alerts to staff to keep traffic flowing. Quickly detect manufacturing anomalies so you can take corrective action and decrease costs.

Use deep learning algorithms with the highest accuracy on the market. Implement cutting-edge vision automation faster with no development costs. Create powerful and custom image recognizers in intuitive web interface. We always improve the underlying machine learning algorithms so you are up-to-date. Train custom neural network to recognize your specific images. Ximilar, industry leader in Visual AI an Search, acquired Vize, made it better, faster, and added business-critical features. Go to Ximilar Homepage to discover our services.

Derive insights from your images in the cloud or at the edge with AutoML Vision or use pre-trained Vision API models to detect emotion, understand text, and more. Google Cloud offers two computer vision products that use machine learning to help you understand your images with industry-leading prediction accuracy. Automate the training of your own custom machine learning models. Simply upload images and train custom image models with AutoML Vision’s easy-to-use graphical interface; optimize your models for accuracy, latency, and size; and export them to your application in the cloud, or to an array of devices at the edge. Google Cloud’s Vision API offers powerful pre-trained machine learning models through REST and RPC APIs. Assign labels to images and quickly classify them into millions of predefined categories. Detect objects and faces, read printed and handwritten text, and build valuable metadata into your image catalog.

Create a custom computer vision model in minutes. Customize and embed state-of-the-art computer vision image analysis for specific domains with AI Custom Vision, part of Azure AI Services. Build frictionless customer experiences, optimize manufacturing processes, accelerate digital marketing campaigns, and more. No machine learning expertise is required. Set your model to perceive a particular object for your use case. Easily build your image identifier model using the simple interface. Start training your computer vision model by simply uploading and labeling a few images. The model tests itself on these and continually improves precision through a feedback loop as you add images. To speed development, use customizable, built-in models for retail, manufacturing, and food. See how Minsur, one of the world's largest tin mines, uses AI Custom Vision for sustainable mining. Rely on enterprise-grade security and privacy for your data and any trained models.

Train your own models, get access to pre-trained computer vision models and app templates, learn how to create AI apps or solve a business problem using computer vision in a couple of hours. Start creating your own dataset for detection by adding the images of the object you need to train. You can add up to 5000 images per dataset. After images are added to your dataset, they are pushed automatically into training. Once the model is finished training, you will be notified accordingly. You can simply download your model to be used for detection. You can also integrate your model to our pre-existing app templates for quick coding. Our mobile app which is available on both Android and IOS utilizes the power of computer vision to help people with complete blindness in their day-to-day lives. It is capable of alerting hazardous objects or signs, detecting common objects, recognizing text as well as currencies and understanding basic scenarios through deep learning.

alwaysAI provides developers with a simple and flexible way to build, train, and deploy computer vision applications to a wide variety of IoT devices. Select from a catalog of deep learning models or upload your own. Use our flexible and customizable APIs to quickly enable core computer vision services. Quickly prototype, test and iterate with a variety of camera-enabled ARM-32, ARM-64 and x86 devices. Identify objects in an image by name or classification. Identify and count objects appearing in a real-time video feed. Follow the same object across a series of frames. Find faces or full bodies in a scene to count or track. Locate and define borders around separate objects. Separate key objects in an image from background visuals. Determine human body poses, fall detection, emotions. Use our model training toolkit to train an object detection model to identify virtually any object. Create a model tailored to your specific use-case.

SightBit provides an AI-powered solution for enhancing safety and security around open water. The company’s proprietary deep-learning AI models and computer vision technology enable capabilities including object detection and classification, drowning detection, hazard detection and prediction, object penetration detection and pollution detection. SightBit’s technology addresses climate challenges by detecting, monitoring, and providing alerts regarding events such as tsunamis and rip currents, while simultaneously providing management capabilities. The company’s solution can easily be deployed using off-the-shelf video cameras, without the need for sensors, edge processors, or customization. SightBit’s core system is based on deep-learning computer vision technology that transmits real-time information to monitors in various control rooms, sounding an alarm when people are in danger, and providing alerts when a system or structure is likely to fail.

Easily create a machine learning (ML) model to spot anomalies from your live process line with as few as 30 images. Identify visual anomalies in real time to reduce and prevent defects and improve product quality. Prevent unplanned downtime and reduce operational costs by using visual inspection data to spot potential issues and take corrective action. Spot damage to a product’s surface quality, color, and shape during the fabrication and assembly process. Determine what’s missing based on the absence, presence, or placement of objects, like a missing capacitor in a printed circuit board. Detect defects with repeating patterns, such as repeated scratches in the same spot on a silicon wafer. Amazon Lookout for Vision is an ML service that uses computer vision to spot defects in manufactured products at scale. Spot product defects using computer vision to automate quality inspection.

Our technology turns a simple webcam into a Accurate Eye-Tracker. Advances in machine learning and computer vision, allow us to track eye movements with high precision. You can take your research outside the lab and scale to a large number of participants. Online solutions for remote usability research. It allows you to do UX research both on desktop and mobile remotely. You get high-quality session recordings and see through the users’ eyes. Track consumers’ attention, and get to know your brand perception and marketing communication performance. GazeRecorder is designed to handle any type of content (banners, videos, Live web pages ). You can ask testers across the globe. They only need a computer with a webcam. You will have immediate access to the results. Invite participants to complete tests on their own devices at home. This keeps testers in their natural environment.

Sybrin AI is a fully integrated technology stack powered by computer vision, machine learning, and data science designed to intelligently automate business processes. A comprehensive framework for extracting and understanding data from non-traditional data sources, documents, images, and video. Seamless, real-time ID capture and extraction of any ID document across the globe. Sybrin intelligent document capture is designed to enable the integration of image capture, clean up, recognition, and data extraction into your application. Verify that the person behind a remote interaction is a real person and is physically present through active or passive liveness detection using image processing techniques and neural networks to prevent spoof attacks. Sybrin Identity Verification validates the identity of the person who is actioning the transaction by matching the person’s identity document details against a live selfie and third-party database.

SKY ENGINE AI is a simulation and deep learning platform that generates fully annotated, synthetic data and trains AI computer vision algorithms at scale. The platform is architected to procedurally generate highly balanced imagery data of photorealistic environments and objects and provides advanced domain adaptation algorithms. SKY ENGINE AI platform is a tool for developers: Data Scientists, ML/Software Engineers creating computer vision projects in any industry. SKY ENGINE AI is a Deep Learning environment for AI training in Virtual Reality with Sensors Physics Simulation & Fusion for any Computer Vision applications. SKY ENGINE AI Synthetic Data Generation makes Data Scientist life easier providing perfectly balanced datasets for any Computer Vision applications like object detection & recognition, 3D positioning, pose estimation and other sophisticated cases including analysis of multi-sensor data i.e., Radars, Lidars, Satellite, X-rays, and more.

FabImage Studio Professional is data-flow-based software designed for machine vision engineers. It does not require any programming skills, but it is still so powerful that it can win even with solutions based on low-level programming libraries. Also, the architecture is highly flexible, ensuring that users can easily adapt the product to the way they work and to the specific requirements of any project. No low-level programming knowledge is required. Data-flow-based software. Fast and optimized algorithms. 1000+ high-performance functions. Custom machine vision filters. There are over 1000 ready-for-use machine filters tested and optimized on hundreds of applications. They have many advanced capabilities such as outlier suppression, subpixel precision or any-shape region-of-interest. FabImage® Studio is a GigE Vision compliant product, supporting the GenTL interface, as well as a number of vendor-specific APIs.

Build & scale with ease. With NeuCore you can develop, train and deploy your computer vision model in a few minutes and scale it to millions. A one-stop platform that manages the model lifecycle, including development, training, deployment, and maintenance. Advanced data encryption is applied to protect your information at all stages of the process, from training to inference. Fully integrable vision AI models fit into your existing workflows and systems, or even edge devices easily. Seamless scalability accommodates your growing business needs and evolving business requirements. Divides an image into segments of different objects within the image. Extracts text from images, making it machine-readable. This model also works on handwriting. With NeuCore, building computer vision models is as easy as drag-and-drop and one-click. For more customization, advanced users can access provided code scripts and follow tutorial videos.

Bring augmented reality experiences to life with our world-class computer vision capabilities. Enables real-time detection of human bodies in images or videos. Supports multi-person detection, half-body detection, position framing and key point output. Detects 18 key points on the human body, including the head, shoulders, feet and others. Tracks movements such as hand raising, bending, jumping and more. Powered by industry-leading algorithms, BytePlus Effects products are highly efficient in computing power consumption, providing unrivaled accuracy and performance. Our software has a proven track record of delivering best-in-class performance, used by apps such as TikTok and Ulike that support hundreds of millions of users. Our engineers continually upgrade algorithms, while our service team provides reliable support.

Remove the complexity from your machine learning projects with our vision AI platform built from the ground up for fast, effective video analytics application development. With easy, no-code point-and-click features all in one platform, Plainsight slashes your time-to-production and accelerates the success of vision AI-powered solutions across industries. Connect, administer, & control cameras, sensors & edge devices in one interface. Collect accurate training datasets to provide a high-quality training foundation for models. Accelerate labeling with smart polygon selection, predictive labeling, & automated object recognition. Easily train models with a breakthrough process designed to reduce time to vision AI solutions. Quickly deploy & scale applications at the edge, in the cloud, or on-premises to meet business needs.

The leading platform for entire computer vision lifecycle. Iterate from image annotation to accurate neural networks 10x faster. With our best-in-class data labeling tools transform your images / videos / 3d point cloud into high-quality training data. Train your models, track experiments, visualize and continuously improve model predictions, build custom solution within the single environment. Our self-hosted solution guaranties data privacy, powerful customization capabilities, and easy integration into your technology stack. A turnkey solution for Computer Vision: multi-format data annotation & management, quality control at scale and neural networks training in end-to-end platform. Inspired by professional video editing software, created by data scientists for data scientists — the most powerful video labeling tool for machine learning and more.

Create training datasets for computer vision models with our fully managed solution. We believe that data labeling is the most important factor in building effective deep learning models. We are committed to being the field's leading data labeling platform and helping companies take full advantage of AI's capabilities. Organize your media with discrete categories. Identify items of interest with one or many bounding boxes. Like bounding boxes, but with additional precision. Annotate objects with accurate width, depth, and height. Classify each pixel of an image. Mark individual points in an image. Annotate straight lines in an image. Measure, yaw, pitch, and roll of an item of interest. Annotate timestamps in video and audio content. Annotate freeform lines in an image.

Built on the foundation of real AI, Quantarium’s innovative-yet-explainable solutions enable more accurate decision making, comprehensively spanning valuations, analytics, propensity models and portfolio optimization. The most accurate real estate insights into property values and trends instantly. Industry-leading highly scalable and resilient next-generation cloud Infrastructure. Quantarium’s adaptive AI computer vision technology is trained on millions of real estate images, and its knowledge is then incorporated into a range of QVM-based solutions. An asset within the Quantarium Data Lake, our managed data set is the most comprehensive and dynamic in the real estate industry. A machine-generated and AI-enhanced data set, curated by AI scientists, data scientists, software engineers, and industry experts, this is the new standard in real estate information. Quantarium combines deep domain expertise, self-learning technology, and innovative computer vision.

Easily integrate our Computer Vision API to add some Machine Learning magic to your app. At inferdo, we pride ourselves in our ability to offer state-of-the-art, pre-trained deep learning models, but also our ability to efficiently serve them at scale. That means we can pass the savings on to you! Simply provide an image URL to our API and we'll handle the rest. Use our Content Moderation API to flag possible inappropriate content in your images. This model is trained to detect nudity and NSFW content in images, both real and drawn. Check out our API cost comparisons here vs our competitors. Use our Image Labeling API to add semantic labels to your images. This model is trained to classify thousands of unique labels across a wide verity of categories. Use our Face Detection API to detect the location of human faces in your images. Need more information? Then use our Face Details API to detect faces, gender, age, and other facial features.

Alegion is the data labeling solution for enterprise-grade Machine Learning. We lead the industry in streaming, high-resolution, high-density video annotation, delivering accurately-annotated, model-ready data to train and validate ML models. Alegion provides both the platform and workforce to operate with quality at scale, processing structured and unstructured data including video, image, audio, and text. Our ML powered platform speeds up task completion by as much as 70%, including classless object tracking and single click smart polygon generation. Segmentation options include Keypoint, Bounding Box, Polyline, & Polygon segmentation, for image and video. Semantic Segmentation tools deliver seamless entity boundaries with pixel perfect accuracy. NLP and NER capabilities support text and audio classification and sentiment analysis. The platform is highly configurable to support hybrid use cases. Available via SaaS (Alegion Control), Managed Platform, and Managed Labeling Services.

The Descartes Labs Platform is designed to answer some of the world’s most complex and pressing geospatial analytics questions. Our customers use the platform to build algorithms and models that transform their businesses quickly, efficiently, and cost-effectively. By giving data scientists and their line-of-business colleagues the best geospatial data and modeling tools in one package, we help turn AI into a core competency. Data science teams can use our scaling infrastructure to design models faster than ever, using our massive data archive or their own. Customers rely on our cloud-based platform to quickly and securely scale computer vision, statistical, and machine learning models to inform business decisions with powerful raster-based analytics. Our extensive API documentation, tutorials, guides and demos provide a deep knowledge base for users allowing them to quickly deploy high-value applications across diverse industries.

Alfi, Inc. engages in creating interactive digital out-of-home advertising experiences. Alfi utilizes artificial intelligence and computer vision to better serve ads to people. Alfi’s proprietary Ai algorithm understands small facial cues and perceptual details that make potential customers a good candidate for a particular product. The automation works in a way that respects user privacy; without tracking, storing cookies, or using identifiable personal information. Ad agencies are empowered to examine real-time analytics data including interactive experiences, engagement, sentiment, and click-through rate that are otherwise unavailable to out-of-home advertisers. Alfi, powered by AI and machine learning, collects data to understand human behavior for improved analytics with relevant content for a better consumer experience.

Voxel51 is the company behind FiftyOne, the open-source toolkit that enables you to build better computer vision workflows by improving the quality of your datasets and delivering insights about your models. Explore, search, and slice your datasets. Quickly find the samples and labels that match your criteria. Use FiftyOne’s tight integrations with public datasets like COCO, Open Images, and ActivityNet, or create your own datasets from scratch. Data quality is a key limiting factor in model performance. Use FiftyOne to identify, visualize, and correct your model’s failure modes. Annotation mistakes lead to bad models, but finding mistakes by hand isn’t scalable. FiftyOne helps automatically find and correct label mistakes so you can curate higher-quality datasets. Aggregate performance metrics and manual debugging don’t scale. Use the FiftyOne Brain to identify edge cases, mine new samples for training, and much more.

Delivering powerful insights into human activity. 3motionAI binds the power of computer vision, artificial intelligence, and machine learning to enable organizations to capture, assess and make recommendations based on performance insights. Record human activity using any video source, including mobile phones. Upload videos instantly to the 3motionAI platform for activity-specific analysis. Videos are processed by the artificial intelligence NeuroNet engine, flagging risk and performance limitations. Compare data to pre-configured population norms or customize API with your specific criteria. Leverage actionable insights. Create custom recommendations, drills, safety measures, and solutions embedded into output. Shareable formats include video, PDF, and standard reports. Spotlight injury risk and enhance human performance with AI-driven human dynamics. Delivering the power of AI-based analysis with simplified integration and low-cost implementation.

EV Lib is a complete embedded vision software library based on deep learning and AI with functionalities for people, vehicle and object detection, identification tracking and 3D pose estimation.

With Ambient.ai, computer vision intelligence is transforming security tools, operations & outcomes, moving physical security teams from reactive to proactive operations. From autonomous vehicles to robot chefs, computer vision is changing the way that humans & machines collaborate in the real world. By automating repeatable tasks, computer vision enables outsized gains in human productivity. We are a team of machine perception & security experts applying leading-edge computer vision research to the needs of physical security organizations. The privacy vs. security trade-off is a false dichotomy. You can respect individual privacy and increase group security. That’s why we don’t & won’t embrace facial recognition.

Forge Lab makes AI training and simulation for vision-guided robotics fast and accessible. Manufacturing engineers can receive ready vision programs and test their automation strategies. AI-powered vision can drive huge improvements in reliability and product quality. This includes new cells or retrofitting existing cells and manual processes. Vision driven by AI makes robotic cells more reliable and productive. You can now use vision-guided robotics with less expertise and risk. Vue software can change robotic guidance, bin picking, assembly and more in your facilities. The AI learns to understand your parts completely, so the robot can take the fastest, safest, most reliable path in and out of movements to handle the parts. Vue understands how to avoid collisions within the operating area, even with the object in hand. Since the AI also understands how the object has been picked up, it can precisely and accurately place it, or assemble it with another object.

IMPACT Software Suite, with over 120 inspection tools and 50 user interface controls, allows users to create unique inspection programs and develop user interfaces quickly and easily. All this can be done without the loss of flexibility, like traditional configurable systems, or the need for vast amounts of development time. IMPACT Software Suite also provides a Software Development Kit (SDK) that guarantees full integration of machine vision monitoring capabilities into HMI software applications. Vision Program Manager (VPM) provides hundreds of image processing and analysis functions. Use VPM to enhance images, locate features, measure objects, check for presence or absence, and read text and bar codes. Control Panel Manager (CPM) simplifies development of operator interfaces with the ability to make on-the-fly adjustments to critical machine controls. CPM creates operator interface panels to view and adjust critical machine controls. IMPACT Software Development Kit (SDK) consists of

Gravio enables new ways to connect and interact with your environment through the power of IoT, sensors, edge computing, computer vision, and AI without programming knowledge. Gravio is an easy-to-use software platform that runs on Windows, macOS, or Linux. You can connect to various inputs and outputs, including some bundled IoT sensors, computer vision/AI cameras, and MQTT or HTTP APIs. Gravio is very easy to use without software programming knowledge. Gravio unlocks the power of connected technologies by connecting sensors, input devices, cameras, and APIs within a space, then continuously gathering and sharing their information, enabling new ways to interact with, learn from and enhance a physical space. To create these experiences, Gravio provides a powerful low-code/no-code environment to enable entrepreneurs and organizations of all sizes, across industries, to build custom, connected experiences for new and existing environments.

Analyze people, crowds, vehicles, and other objects in real time with your cameras. Measure people, crowds, and vehicles anonymously in real time with your cameras. Gather smart metrics from your IP/security cameras in one step. Our technology works with several types of cameras and operating systems used around the world. On the go, at your desk or wherever you may go, your AdDashboard is with you all the time. View metrics that are important to your business and share them with customers. The strictest privacy and reliability methodologies have earned our reputation as the industry’s most trusted measurement company. We understand your need to intuitively access, utilize, and integrate our real-time data; so we made it effortless. Our computer vision infrastructure caters to all of our client’s needs, always ensuring the highest performance regardless of implementation.

Recogni unleashes new capabilities in perception processing! Our novel Vision Cognition Module (VCM), based on a custom ASIC, is capable of running deep-learning networks with amazing efficiency. This purpose-built solution can enable a car to detect small objects at long distances while consuming minimal battery power. A combination of real world & synthetic data is essential for state-of-the-art perception. One of the benefits of utilizing synthetic data is our ability to augment & enhance real world data. Enabled with a combination of Peta-Op class performance, industry-lowest latency & jitter, & industry-highest power efficiency.

Lodestar is a complete management suite for developing computer vision models from video data. Label hours of video using the world’s first real-time active learning data annotation platform and accelerate high-quality dataset and computer vision model creation. Automated data preparation allows you to drag and drop 10 hours of video into a single project. No data curation needed and multiple video formats supported. Continuous model training and a shared, managed dataset allow annotators and data scientists to collaborate and create a functional object detection model in an hour. Unlimited labels with every plan.

Unleash live is an A.I. video analytics enterprise solution provider. We take a vision from any camera and combine it with computer vision to deliver actionable data in real-time so that your organization has immediate insights to drive down costs, improve productivity, increase accuracy, and improve safety. Support for a wide range of cameras. Connect any combination of IP/CCTV, drone, body cam, mobile or robotic cameras. Live stream in the field and share it with your team while operations are in progress, or upload footage into your account. Apply A. I Apps from our app store to detect, inspect and monitor objects and items of interest or create 2D orthomaps and 3D models. Integrate results into your operational workflow, from live dashboards, to notifications and API integrations. Take the complexity and time out of collaboration. Instantly connect any mix of cameras to share over a live stream with stakeholders and 3rd parties. No plugs-in, no downloads, all in the browser.

Driven by excellence, inspired by you. At Eyeris, our technology was inspired by the late-night worker, the caring parent, the aspiring entrepreneur. Keeping every driver in mind, our innovative technology promises to push towards a safer and better road ahead. ​In-Cabin cameras are the most common sensor used for driver and occupant monitoring. Eyeris AI Software interprets the entire interior scene through these cameras. Allows the ability to collect data from different sensor types to interpret the scene with redundant data for high data accuracy. Innovation in hardware is improving to accommodate and run sophisicated AI software in the most efficient and fastest manner. Our vision-based neural networks provide the richest source of information. Using the latest image sensors, our pre-trained vision AI models understand the entire in-cabin space under the widest range of lighting spectrum.

Alibaba Cloud Image Search is an intelligent image search service that helps users find similar or identical images. Based on machine learning and deep learning, the product enables end-users to take a screenshot or upload an image to search and find desired products and fulfill other search requests. Allows your customers to use a product image to search for products from an image library. This feature simplifies the shopping process and is suitable for shopping scenarios where content-based image retrieval (CBIR) is required. After your customers use images to search for products, the system automatically recommends the same or similar products. This feature is suitable for product recommendation scenarios to improve the shopping experience of your customers.

Reveal valuable insights by accurately recognizing objects in images and videos. From surveilling people in real-time at events to detecting if products are in the right place in shopping aisles, AI can drive value in many ways. Create in-depth analyses by placing image objects into relevant segments. AI-based algorithms can help insurers analyze home and auto damage to create more accurate claims for customers. Get immediate insights to take action when it matters most. AI algorithms enable real-time processing for a variety of valuable uses, such as face recognition. Understand customer behavior by identifying their actions from video, both in-store and in real-time. AI helps reveal how customers interact with products and brands to drive better experiences. AI-based analytics on satellite images can be used to detect traffic in real-time, analyze parking lots, and segment buildings.

Industry-leading technology powered by synthetic data for flawless retail execution. The new wave of vision technology for consumer packaged goods. Select from an extensive catalog of over 100,000 SKUs in the Neurolabs platform including top brands such as P&G, Nestlé, Unilever, Coca-Cola, and much more. Your field agents can upload multiple shelf images from mobile devices to our API which will automatically stitch the images together to generate the scene. SKU-level detection provides you with detailed information to compute retail execution KPIs such as out-of-shelf rate, shelf share percentage, competitor price comparison, and so much more! Discover how our cutting-edge image recognition technology can help you maximize store operations, enhance customer experience, and boost profitability. Implement a real-world deployment in less than 1 week. Access image recognition datasets for over 100,000 SKUs.

Video Explorer Platform is a full functionality platform for video analytics (computer vision) application development and deployment. It provides an application framework that could be configured and customized to adapt to customers’ business requirements and further integrate with customers’ business systems. It could enable an enterprise to land a video analytics solution in a very short time. Co-worked with another asset the IBM Visual Builder (IVB), the customer could benefit from one-station video analytics application development and deployment, which include image labeling, image augmentation, training, validation, and publishing to Video Explorer Platform. Provides a full functionality platform of video analytics application development and deployment, including data source management (video devices, images, offline video materials), real-time video browsing, image / slip extraction, storage, model mapping, event processing rule configuration, etc.

Clarifai is a leading AI platform for modeling image, video, text and audio data at scale. Our platform combines computer vision, natural language processing and audio recognition as building blocks for developing better, faster and stronger AI. We help our customers create innovative solutions for visual search, content moderation, aerial surveillance, visual inspection, intelligent document analysis, and more. The platform comes with the broadest repository of pre-trained, out-of-the-box AI models built with millions of inputs and context. Our models give you a head start; extending your own custom AI models. Clarifai Community builds upon this and offers 1000s of pre-trained models and workflows from Clarifai and other leading AI builders. Users can build and share models with other community members. Founded in 2013 by Matt Zeiler, Ph.D., Clarifai has been recognized by leading analysts, IDC, Forrester and Gartner, as a leading computer vision AI platform. Visit clarifai.com

Reliable, adaptable computer vision systems for any factory. AI and image capture are integrated into every step of manufacturing. Overview’s inspection systems are built with deep learning technology which allows us to find mistakes more consistently and in a wider variety of situations. Enhanced traceability with remote access and support. Our solutions create a traceable visual record of every unit. You can quickly identify the root cause of production problems and quality issues. Whether you are just digitizing your inspection or have an existing vision system that is underperforming, Overview has a solution that can drive waste out of your manufacturing operations. Demo the Snap platform to see how we improve your factory efficiency. Deep learning automated inspection solutions radically improve defect detection. Improved yields, better traceability, easy setup, and outstanding support.

Our platforms provide a trusted foundation upon which to design, build, and deploy custom machine learning and artificial intelligence solutions. Build next-best-action applications that learn, adapt, and optimize using reinforcement-learning based algorithms. Custom, continuously-improving deep learning vision models to solve your unique challenges. Predict the future using state-of-the-art forecasts. Enable smarter decisions throughout your organization with cloud based tools to monitor and analyze. The process of taking a modern machine learning application from research and ad-hoc code to a robust, scalable platform remains a key challenge for experienced data science and engineering teams. Strong ML simplifies this process with a complete suite of tools to manage, deploy, and monitor your machine learning applications.

NtechLab platform processes video and recognizes human faces, bodies and actions, as well as cars and plate numbers. AI-powered technology enables record breaking accuracy and high speed of recognition. The multi-object and analytical capabilities of FindFace Multi unlock new scenarios for responding challenges of public sector and business. FindFace Multi quickly and accurately recognizes faces, human bodies, cars, and license plate numbers in a live video stream or in a video archive. Searching for faces, bodies, and vehicles in a database or in an archive is available both by a photo sample and by specific features, for example, by age, clothes color, or vehicle model. NtechLab developers are constantly improving recognition algorithms, increasing their performance and accuracy. With FindFace Multi it takes less than a second to detect a face in a video stream, recognize it, and search for a match in a database with billions of images.

SuperAnnotate is the world's leading platform for building the highest quality training datasets for computer vision and NLP. With advanced tooling and QA, ML and automation features, data curation, robust SDK, offline access, and integrated annotation services, we enable machine learning teams to build incredibly accurate datasets and successful ML pipelines 3-5x faster. By bringing our annotation tool and professional annotators together we've built a unified annotation environment, optimized to provide integrated software and services experience that leads to higher quality data and more efficient data pipelines.