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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.

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.

Nyckel makes it easy to auto-label images and text using AI. We say ‘easy’ because trying to do classification through complex “we-do-it-all” AI/ML tools is hard. Especially if you’re not a machine learning expert. That’s why Nyckel built a platform that makes image and text classification easy for everyone. In just a few minutes, you can train an AI model to identify attributes of any image or text. Whether you’re sorting through images, moderating text, or needing real-time content labeling, Nyckel lets you build a custom classifier in just 5 minutes. And with our Classification API, you can auto-label at scale. Nyckel’s goal is to make AI-powered classification a practical tool for anyone. Learn more at Nyckel.com.

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.

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.

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.

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.

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

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.

A class agnostic, pixel perfect automated annotation platform. Built for teams with lots of data, strict quality requirements, and little time. Scale your ground truth creation 10x, collaborate with unlimited team members and annotators, and seamlessly integrate it into your deep learning pipeline. Generate Ground Truth 10x faster by creating pixel-perfect annotations. Use V7’s intuitive tools to label data and automate your ML pipelines. The ultimate image and video annotation solution.

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.

FortressIQ enables enterprises to decode work, transform experiences, and enhance workflows with the industry’s most advanced process intelligence platform. Using innovative computer vision and artificial intelligence, FortressIQ delivers unprecedented process insights, extremely fast, and with detail and accuracy unattainable with traditional methods. The platform autonomously acquires process data at scale even as processes extend across systems, empowering enterprises to understand, monitor, and improve operations, employee and customer experiences, and every business process. FortressIQ was founded in 2017, and is backed by Lightspeed Venture Partners, Boldstart Ventures, Comcast Ventures, Eniac Ventures, M12 and Tiger Global. Pinpoint inefficiencies and process variations continuously and automatically to reveal optimal process paths and reduce time to automation.

Nanonets enables self-service artificial intelligence by simplifying adoption. Easily build machine learning models with minimal training data or knowledge of machine learning. At Nanonets, we serve up the most accurate models. Always.

Deep Block is the world's fastest AI-powered remote sensing imagery analysis solution. Train your own AI models to detect instantly any objects in large satellite, aerial, and drone images. Deep Block's no-code data labeling interface lets you achieve your MLOps projects in days, with no prior expertise. Instead of hiring your own in-house AI engineering team, anybody can start training their own AI. If you have a mouse and a keyboard, you can use our web-based platform, check our project library for inspiration, and choose between 9 out-of-the-box AI training modules (image segmentation, object detection, facial detection, facial comparison…) to get you started. The power of Deep Block is not limited to training your own AI. Once, your AI model is ready, Deep Block's high-performance AI models can deliver very accurate results when detecting objects (0.9 mAP) and with minimum false positives (0.9 recall).

Partium is a multi-modal AI-supported Enterprise Part Search. It makes it easy for your users in Maintenance and After sales & Service environments to find parts in spare parts portals, web shops, and maintenance systems. It allows technicians to search by image, text, filter, bill of materials, and tags. Hotline agents can confirm part search results and connect with the users. Partium also offers insights in your users' search behavior. Partium handles millions of spare part searches every month. Caterpillar, Parker, Liebherr, Deutsche Bahn, New Holland, The Home Depot, ENGEL, Wien Energie, and many other companies use Partium to provide not just a great search for their internal employees and customers, but a search that converts at higher rates because of relevancy, accuracy, and ease-of-use.

Based on the deep learning technology, provides multi-camera and single-camera portrait blur, single-camera portrait blur, re-lighting, super-resolution, image quality enhancement, and intelligent album management to intelligent terminal devices. Universal port interfaces support hassle-free integration. Offers customers professional and speedy technical support. Universal port interfaces support hassle-free integration. Provides a wide range of product features and produces high-quality professional image processing effects with our industry-leading technology. Extensive experience in AI and deep learning, leading big data-driven image analysis algorithm and a professional product development team. Proprietary technology empowers businesses and services. SenseTime is a leading AI software company focused on creating a better AI-empowered future through innovation. Upholding a vision of advancing the interconnection of the physical and digital worlds with AI.

The integrated object and image processing solution. Because your trade and specific needs are unique, LTU delivers an integrated SaaS solution, open and configurable for visual recognition. This web service is a suite of object and image processing features that includes matching, color palette search and metadata search (coming soon). LTU offers a computer vision solution working without Deep Learning, thanks to the creation of a “unique signature” based on visual characteristics of the image or object. Access a suite of visual search functionalities in web service, open and configurable. This SaaS solution gives you access to our multiple proprietary algorithms, and can also integrate third-party technologies to operate a visual search specifically adapted to your needs. LTU offers a SaaS comparison and change detection solution that is highly configurable to operate tailored processing based on your use case.

WineEngine is powered by TinEye's unparalleled image recognition technology and has been engineered and optimized to work with photographs captured by users' smart devices. This service uses exceptional image recognition algorithms and neural networks to deal with the common problems encountered in user-supplied photographs: low resolution, bad lighting and color, improper framing and cropping, off-centre angles and blurriness. WineEngine has also been specially engineered to recognize wine vintages when available on a label. High success rate even with low-quality label images. Automatically locates and focuses on the label region within an image. Outperforms OCR-based attempts to read labels. Searches in real-time, even for multi-million wine label collections. WineEngine combines TinEye’s state-of-the-art image recognition algorithms with neural networks to provide fast and reliable recognition of wine, beer and spirit labels.

OpenCV (Open Source Computer Vision Library) is an open-source computer vision and machine learning software library. OpenCV was built to provide a common infrastructure for computer vision applications and to accelerate the use of machine perception in commercial products. Being a BSD-licensed product, OpenCV makes it easy for businesses to utilize and modify the code. The library has more than 2500 optimized algorithms, which includes a comprehensive set of both classic and state-of-the-art computer vision and machine learning algorithms. These algorithms can be used to detect and recognize faces, identify objects, classify human actions in videos, track camera movements, track moving objects, extract 3D models of objects, produce 3D point clouds from stereo cameras, and stitch images together to produce a high-resolution image of an entire scene, find similar images from an image database, remove red eyes from images taken using flash, follow eye movements, recognize scenery, etc.

Discover unprecedented speed, accuracy, and flexibility in the only automatic license plate recognition solution that scales with your needs – built 100% in-house by Rank One Computing. Our cutting-edge ALPR software can automatically read and recognize license plates from video files or images captured on any device – even in challenging environments like low-light, high-motion or angled images. Get more comprehensive search results with a system that provides approximate plate matches, even when inputted characters are incorrect or only partially captured by the system. After an incident, automatically search surveillance footage for a known vehicle by the license plate. From law enforcement to commercial security and federal investigations, our license plate recognition technology is trusted by technology leaders across the country and around the world.

Image recognition technology that provides true understanding of your digital media. With our on-device computer vision model, users can expect an average response time of less than 250ms. This is more than 4x faster than using our API and does not require an internet connection. Users can recognize objects in a space by simply scanning their phone around a room, eliminating the need to take individual pictures. This feature is unique to our on-device model. By removing the need for data to leave the end-user device, privacy concerns are virtually eliminated. While our API takes every precaution possible to protect your privacy and data, our on-device model raises the bar on security substantially. Send CloudSight your visual content, and our API will generate a natural language description in response. Filter and categorize images, monitor for inappropriate content, and automatically assign labels for all of your digital media.

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.

We ​help our clients ​leverage visual AI to solve real-world business problems​. Our team of skilled data scientists and machine learning engineers ​will quickly train and deliver highly precise and accurate machine learning models for your visual data. IceCream Labs is the leading enterprise AI solution company. IceCream Labs provides solutions for retail, digital media and higher education. The company’s expertise is developing machine learning and deep learning models to solve real world business problems using text, image and numerical data. Try IceCream Labs if your business ​handles visual data like images, video and documents. If you need to identify what’s in an image or a document, we can help you. ​If you need to quickly train and deploy a machine learning model, IceCream Labs is the answer. Talk to our AI experts and get sales performance improvements across your product line.

Build, train, and deploy models in minutes, not months, without human labeling. Find Anything, Fast Provide a single example object image to begin the process. RAIC will find similar objects in an unlabeled dataset. The results are then contextually associated with the original starting image so that you can improve the AI by identifying the best results through an intuitive human nudge tool. Identify and Classify Categorize data based on whatever you need to detect — that might be one thing, or many different things. Once contextually associated, RAIC lets you easily group and identify items into categories that will help feed training. Quick Train or Deep Train RAIC then builds you a detection or classification model. You can decide between Quick Train - for time-critical use cases or rapid prototyping - or Deep Train, a traditional, high-accuracy model for when time is less of a constraint.

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.

Create your own mobile application with image recognition technology. Choose from unlimited interaction possibilities.

We make it easy to add superhuman computer vision to your applications, devices and processes to give you unassailable competitive advantage. No code, customizable & on-premise AI solutions.

Unlock a new level of situational awareness with exceptionally accurate face recognition and additional face- and person-based computer vision features. SAFR delivers actionable insights that protect the health and safety of people everywhere. Designed as a standalone networked solution, SAFR SCAN provides SMB and enterprise-level users with uncompromised biometrics features and performance at an affordable price point. Its fast, frictionless throughput can authenticate up to 30 individuals per minute, making it ideal for high-volume applications in office building lobbies, professional offices, secured employee entrances and more. To ensure personal privacy, all enrolled and scanned biometric data is fully encrypted and does not contain any visual imagery of individuals’ faces. This helps to ensure that individuals' identities are protected, avoiding any liability issues related to new and emerging privacy protection mandates.

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.

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.

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.

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.

Paravision provides a computer vision developer platform that powers face recognition applications serving mission-critical use cases. Our SDK's and API's enable comprehensive security and frictionless experiences and are powered by an industry-leading feature set. Our SDKs and Vision AI engines can be integrated into modern, secure infrastructure. We also build advanced solutions for identity-based security threats, like spoof attempts and deepfakes. Utilizing the most advanced AI frameworks and partnered with leading providers of hardware accelerators for AI and deep learning, Paravision delivers speed, scalability, and responsiveness while lowering operating costs. Paravision is proud to be a US-based leader in Vision AI. Whether in technical partnership, working through end-user challenges, or collaborating on market strategy, we strive to be dynamic, responsive, and focused on delivering excellence.

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.

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.

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.

Prisma’s facial recognition system is a technology capable of identifying or verifying a person from a digital image or a video frame from a video source. There are multiple methods in which facial recognition systems work, but in general, they work by comparing selected facial features from a given image with faces within a database. It is also described as a biometric artificial intelligence-based application that can uniquely identify a person by analyzing patterns based on the person's facial textures and shape. The print content would act as a marker for our engine and match with the corresponding reference image. Image recognition engines can also be used in marketing the brand by linking logos with ads, websites, and information. The process of capturing images from mobile devices and recognizing the same against a reference image. Prisma using its years of experience in the development of specialized algorithms for image recognition has now ported the same for applications.

piXserve™ is an enterprise class application that automatically creates a searchable index of visual content in media files. piXserve scans digital images and videos, stores searchable descriptions of its contents, and assigns keywords to things it recognizes. piXserve can detect and recognize individual faces, objects, scenes, and text strings in a variety of languages. You can put piXserve to work on your archived media and on your live video sources. Use piXserve to help you discover, flag, and keep track of content. Let piXserve help you discover relationships between content from different sources and different types. Integrate piXserve functionality into your analytical pipeline and advance your understanding of events, situations, and ability to make actionable predictions. A comprehensive set of features and capabilities creates the foundation for solutions to a broad range of use cases.

Abacus.AI is the world's first end-to-end autonomous AI platform that enables real-time deep learning at scale for common enterprise use-cases. Apply our innovative neural architecture search techniques to train custom deep learning models and deploy them on our end to end DLOps platform. Our AI engine will increase your user engagement by at least 30% with personalized recommendations. We generate recommendations that are truly personalized to individual preferences which means more user interaction and conversion. Don't waste time in dealing with data hassles. We will automatically create your data pipelines and retrain your models. We use generative modeling to produce recommendations that means even with very little data about a particular user/item you won't have a cold start.

Build the next generation of Image Recognition Applications with Imagga's API. Empowering intelligent apps with our customizable machine learning technology. Automatically assign tags to your images. Powerful API for image analysis and discovery. Empower product discoverability in your application. Powerful API for building visual search capabilities. Unlock facial recognition in your applications. Powerful API for building face recognition. Train our image A.I. to better organize your photos in your own list of categories. Automatically categorize your image content. Powerful API for instant image classification. Automated adult image content moderation trained on state of the art image recognition technology. Automatically generate beautiful thumbnails. Powerful API for content-aware cropping. Let colors bring meaning to your product's photos. Powerful API for color extraction.

Turn your product images into beautifully categorized data that will improve your catalog management efficiency, analytics, and product discovery, using the power of advanced visual AI in fashion. Pixyle’s solutions for visual AI in fashion are accurate, powerful, and integrate seamlessly with any tech stack. Our AI technology can scan and analyze your entire product image catalog in the blink of an eye. We’ve packed the most advanced visual artificial intelligence technology in essential tools for fashion retailers to be successful and thrive in the digital fashion online business. Our AI and deep learning technology has learned to identify product features in fashion images and generate rich tags. Get attribute tags automatically, that will add deep, specific insights about your products, and improve product discovery on your online eCommerce store. Detect and analyze trends in more detail with our detailed fashion attributes, and make better business decisions.

Virus API lets you scan files and content for viruses and identify security issues with content. Protect your web application or web APIs automatically from virus uploads using a Virus Scanning Reverse Proxy Server. Automatically protect any objects and files in Google Cloud Platform (GCP) Cloud Storage from viruses and malware, with no code changes, in real time. Automatically protect any Document Libraries and Sites in SharePoint from viruses and malware, with no code changes, in real time. Leverage our advanced Deep Learning OCR APIs to convert scanned images of documents, and photos of documents into rich text. Automatically unrotates and unskews images when needed. The validation APIs help you validate data. Check if an E-mail address is real. Check if a domain is real. Check up on an IP address, and even where it is located. All this and much more is available in the validation API.

Identify faces, license plates, and unclear content from grainy or poor quality video footage. Create compelling evidence artifacts or video clips using our Forensic video enhancement application. Protect the identity of the innocent, comply with FOIA regulations, and highlight relevant visuals with our Spotlight video and audio redaction application. The MotionDSP product line includes industry leading tools for advanced image processing and computer vision software for public safety, security, government, and defense applications. Since initial product launch over 12 years ago, we have helped customers extract critical information from video across a wide variety of industries including law enforcement, military, oil and gas, forestry, inspection services, energy, transportation, and more, including: the US Secret Service, Scotland Yard, NCIS and many other agencies around the world.

Business data is usually present in different formats, across sources. A lot of business data is unstructured and semi-structured. IDP (Intelligent Document Processing) leverages AI, along with programmable automation (such as repetitive tasks), to convert data into usable, structured formats, and for consumption by downstream systems.Using Natural Language Processing (NLP), Computer Vision (CV), Optical Character Recognition (OCR) and machine learning tools, Blox.ai identifies, labels and extracts relevant data from any type of document. The AI then maps this extracted information into a structured format while configuring a model which can be applied to all similar document types. The Blox.ai stack is set up to reconcile the data based on business requirements and to push the output to downstream systems automatically.

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.

Neurala is on a mission to help manufacturers improve their vision inspection process. Supply chain issues, labor shortages, and the risk of recalls are driving the need for more automation. Our Visual Inspection Automation (VIA) software goes beyond the capabilities of traditional machine vision in detecting anomalies and defects, even when products have natural variations. Using our proven vision AI technology, manufacturers can scale production, reduce waste and adapt to workforce changes, while achieving even higher levels of quality control. Neurala software uses our patented Lifelong-Deep Neural Network (L-DNN)™ technology, offering the first cost-effective vision AI tool that can be easily retrofitted into your existing production line infrastructure, without the need for AI experts or expensive capital expenditures. Neurala gives you the flexibility to deploy your vision AI models to meet your specific business needs, either to the cloud or on-premise.

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.

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.

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.