Helm.ai Alternatives

From a variety of ADAS solutions to a self-driving system for autonomous public transport or goods delivery, all the way to consumer AVs. By developing everything from the silicon through to the self-driving system in-house, numerous efficiencies and synergies are unlocked, allowing us to reach AV at scale. From the beginning, Mobileye has developed hardware and software in-house, paving the way for highly efficient hardware, software, and algorithmic stacks at a superior cost-performance ratio. Everything Mobileye develops is safe by design, with a distinct strategy so that the technology can reach the mass market.

Various sensors, such as LiDAR, cameras and radar collect environmental data surrounding the vehicle. Using sensor fusion technology perception algorithms can determine in real time the type, location, velocity and orientation of objects on the road. This autonomous perception system is backed by both Baidu’s big data and deep learning technologies, as well as a vast collection of real world labeled driving data. The large-scale deep-learning platform and GPU clusters. Simulation provides the ability to virtually drive millions of kilometers daily using an array of real world traffic and autonomous driving data. Through the simulation service, partners gain access to a large number of autonomous driving scenes to quickly test, validate, and optimize models with comprehensive coverage in a way that is safe and efficient.

Selenium is our flagship product, a full-stack autonomy system, the product of over 500 person-years of effort. An on-vehicle suite of software which given a drive-by-wire interface and very modest compute hardware, brings full autonomy to a land-based vehicle. Selenium has the ability to transform any suitable vehicle platform into an autonomous vehicle, both at prototype volume and at scale. It is a collection of interoperable software modules that allow the vehicle to answer three key questions, where am I? What’s around me? What do I do next? Selenium spans the technological spectrum, from low-level device drivers, through calibration, 4-modal localization, mapping, perception, machine learning and planning, and its remarkable vertical integration even covers user interface and data export systems. It does not even need GPS or HD-Maps (although this can still be utilized, if available).

AI Building Blocks for Intelligent Cars. Carver21 is purpose built to scale to your perception needs whether enabling safety features or delivering autonomous driving functions.

NVIDIA DRIVE® Map is a multi-modal mapping platform designed to enable the highest levels of autonomy while improving safety. It combines the accuracy of ground truth mapping with the freshness and scale of AI-based fleet-sourced mapping. With four localization layers—camera, lidar, radar, and GNSS—DRIVE Map provides the redundancy and versatility required by the most advanced AI drivers. DRIVE Map is designed for the highest level of accuracy, the ground truth map engine creates DRIVE Maps using rich sensors—cameras, radars, lidars, and differential GNSS/IMU—with NVIDIA DRIVE Hyperion data collection vehicles. It achieves better than 5 cm accuracy for higher levels of autonomy (L3/L4) in selected environments, such as highways and urban environments. DRIVE Map is designed for near real-time operation and global scalability. Based on both ground truth and fleet-sourced data, it represents the collective memory of millions of vehicles.

Momenta is a leading autonomous driving technology company. Momenta is dedicated to reshaping the future of mobility by offering solutions to enable multiple levels of driving autonomy. It has pioneered a unique scalable path toward full autonomous driving by combining a data-driven approach with iterating algorithms, referred to as its “flywheel approach”, as well as a “two-leg” product strategy focusing on both Mpilot, its mass-production-ready highly autonomous driving solutions, and MSD (Momenta Self-Driving), its driving solution targeting full autonomy. Mpilot is purpose-built mass production ready highly automated driving software solution for private vehicles. Our core product includes Mpilot X, which provides a highly autonomous end-to-end driving experience with full driving scenario coverage and key functions including Mpilot Highway, Mpilot Urban and Mpilot Parking.

The Qualcomm® Snapdragon Ride™ Platform is one of the automotive industry’s most advanced, scalable and fully customizable automated driving platforms. It will facilitate automotive suppliers and automakers flexibility to deploy the safety, convenience and autonomous driving features in demand today--with the ability to scale in the future. Reliable, extreme, auto-ready performance at low power with more simplicity and higher automotive safety. And unlike other autonomous driving solutions that require liquid cooling, the Snapdragon Ride Platform is passive or air-cooled. Our comprehensive customizable platform features multi-ECU aggregation, allowing it to easily scale from Active safety to Convenience to full Self-Driving across a wider range of vehicles. In addition to our high-performance, energy-efficient hardware, the new Snapdragon Ride Autonomous Stack combines with the hardware to provide one of the most robust vehicle perception and driving brains available.

We are developing safe and reliable autonomous driving technology globally. Having accumulated millions of kilometers in autonomous road testing in complex scenarios, we have built a solid foundation to deliver autonomous driving systems at scale. Pony.ai was the first to launch Robotaxi service in December 2018, allowing passengers to hail self-driving cars via the PonyPilot+ App to start a new, safe and enjoyable journey. The service is currently available in Guangzhou, Beijing, Irvine, CA, and Fremont, CA. We have launched autonomous mobility pilots in multiple cities across the US and China, serving hundreds of riders every day. These pilots have enabled us to build a strong technical and operational foundation to further expand and improve our service. We have come together to tackle the biggest tech challenges in mobility. We are making concrete progress every day toward our vision of autonomous mobility everywhere.

Software is what turns a vehicle into an intelligent machine. The NVIDIA DRIVE™ Software stack is open, empowering developers to efficiently build and deploy a variety of state-of-the-art AV applications, including perception, localization and mapping, planning and control, driver monitoring, and natural language processing. The foundation of the DRIVE Software stack, DRIVE OS is the first safe operating system for accelerated computing. It includes NvMedia for sensor input processing, NVIDIA CUDA® libraries for efficient parallel computing implementations, NVIDIA TensorRT™ for real-time AI inference, and other developer tools and modules to access hardware engines. The NVIDIA DriveWorks® SDK provides middleware functions on top of DRIVE OS that are fundamental to autonomous vehicle development. These consist of the sensor abstraction layer (SAL) and sensor plugins, data recorder, vehicle I/O support, and a deep neural network (DNN) framework.

RTMaps (Real-time multisensor applications) is a highly-optimized component-based development and execution middleware. Thanks to RTMaps, developers can design complex real-time systems and perception algorithms for their autonomous applications such as mobile robots, railway, defense but also ADAS and Highly automated driving. RTMaps is a versatile swiss-knife tool to develop and execute your application and offering multiple key benefits: ● Asynchronous data acquisition ● Optimized performance ● Synchronous recording and playback ● Comprehensive component libraries: over 600 I/O software components available ● Flexible algorithm development: Share and collaborate ● Multi-platform processing ● Cross-platform compatibility and scalable: from PC, Embedded targets, to the Cloud. ● Rapid prototyping and testing ● Integration with dSPACE tools ● Time and resource savings ● Limiting Development risks, errors and efforts. ● Certification ISO26262 ASIL-B: on demand

PRODRIVER is Embotech’s solution to the problem of motion planning for autonomous or highly-automated vehicles. It is an essential component of the autonomous driving software stack, within the so-called ‘decision making’ layer. As a motion planner, PRODRIVER is responsible to generate drivable trajectories or directly actuator commands such as steering, accelerating and braking. These are computed given the surrounding environment information. PRODRIVER does so by continuously making predictions and solving an optimization problem in real time. Its most important inputs are information about the drivable space, the obstacles within it and a goal (which could be a position or an objective such as making progress along a route). Its outputs can be used directly to control the vehicle or to provide set-points for the vehicle’s low-level controllers to track. The diagram below gives a schematic overview of how PRODRIVER is integrated within a typical autonomous vehicle software stack.

DriveMod is Cyngn’s full-stack autonomous driving solution. It integrates with off-the-shelf sensing and computing hardware to enable industrial vehicles to perceive the world, make decisions, and take action. DriveMod has been engineered to integrate smoothly into your existing workflows, enabling you to easily program vehicle routes, loops, and missions. In short, if a human driver can do it so can DriveMod. Safely bring autonomous capabilities to any commercially available vehicle through a retrofit. Drivemod’s flexibility ensures heterogeneous fleets operate smoothly regardless of vehicle type or manufacturer. Our AI software combines with leading sensors and computing hardware to create capabilities that far exceed that of human drivers. DriveMod can detect thousands of objects, propose thousands of candidate paths, and then navigate the optimal route — all in fractions of a second.

Tronis is an environment for virtual prototyping and for safeguarding driver assistance systems, e.g. for highly automated or autonomous driving . Based on a modern 3D game engine, real driving situations and traffic scenarios can be efficiently mapped and used for testing, e.g. for camera and radar-based environment detection. This can significantly accelerate the development of corresponding systems and reduce the need for real prototypes.

Cognata delivers full product lifecycle simulation for ADAS and autonomous vehicle developers. Automatically-generated 3D environments and realistic AI-driven traffic agents for AV simulation. Autonomous vehicles ready-to-use scenario library and simple authoring to create millions of AV edge cases. Closed-loop testing with painless integration. Configurable rules and visualization for autonomous simulation. Measured and tracked performance. Digital twin grade 3D environments of roads, buildings, and infrastructure that are accurate down to the last lane marking, surface material, and traffic light. A global, cost-effective, and efficient architecture built for the cloud from the beginning. Closed-loop simulation or integration with your CI/CD environment are a few clicks away. Enables engineers to easily combine control, fusion, and vehicle models with Cognata’s environment, scenario, and sensor modeling capabilities.

Impersonate is an autonomous control platform for indoor or outdoor robots in highly dynamic environments that fully encompass perception and planning into a single AI stack that’s generalized to any robotic setup.

● Application platform for autonomous driving systems that recognizes external environment through various collective data, and autonomously drive based on appropriate judgment ● Scalable distributed computing environment backed by many-core processors, and various types of processors to support advanced computing power required for intelligent information processing ● Scalable platform that allows software assets to be run on various hardware resources with real-time capability to ensure reliability and safety

Aptiv is a global technology company that develops safer, greener and more connected solutions enabling the future of mobility. Aptiv is focused on developing and commercializing autonomous vehicles and systems that enable point-to-point mobility via large fleets of autonomous vehicles in challenging urban driving environments. With talented teams working across the globe, from Boston to Singapore, Aptiv is the first company to deploy a commercial, autonomous ride-hailing service based in Las Vegas. Aptiv has provided over 100,000 public passenger rides, with 98% of passengers rating their Aptiv self-driving experience 5-out-of-5 stars. At Aptiv, we believe that our mobility solutions have the power to change the world.

Created from industry-leading hardware and software, the Aurora Driver is designed to adapt to a variety of vehicle types and use cases, allowing us to deliver the benefits of self-driving across several industries, including long-haul trucking, local goods delivery, and people movement. The Aurora Driver consists of sensors that perceive the world, software that plans a safe path through it, and the computer that powers and integrates them both with the vehicle. The Aurora Driver was designed to operate any vehicle type, from a sedan to a Class 8 truck. The Aurora Computer is the central hub that connects our hardware and autonomy software and enables the Aurora Driver to seamlessly integrate with every vehicle type. Our custom-designed sensor suite—including FirstLight Lidar, long-range imaging radar, and high-resolution cameras—work together to build a 3D representation of the world, giving the Aurora Driver a 360˚ view of what’s happening around the vehicle in real time.

We’re building Hivemind, our AI pilot, to enable swarms of drones and aircraft to operate autonomously without GPS, communications, or a pilot. Our mission is to protect service members and civilians with intelligent systems. More than just preset behaviors & waypoints. Like a human pilot, Hivemind reads and reacts to the battlefield, and does not require GPS, waypoints, or prior knowledge to make decisions. It is the first and only fully autonomous AI pilot deployed in combat since 2018. From indoor building clearance with quadcopters to integrated air defense breach with fixed-wing drones, and F-16 dogfights, Hivemind™ learns and autonomously executes missions. A new generation of aircraft flown by Hivemind to provide persistent aerial dominance across sea, air, and land, on the tactical edge.

World’s premier automated platform provider. Starting with a customizable R&D vehicle platform can accelerate your work on advanced driver assistance systems (ADAS), advanced algorithm development and automated driving initiatives — or help take your driverless efforts to the next level. Step-by-step specification of your own R&D vehicle platform, from the vehicle to sensors, software and storage. When you purchase a platform from AutonomouStuff, we’re part of your team. A knowledgeable and experienced project manager stays in touch with you on a regular basis to keep you current on platform updates and to make sure we’re meeting your needs.

DeepRoute.ai aims to provide the safest, smartest, and most reliable Level 4 full-stack self-driving solution. We are committed to innovating the future of transportation through the power of technology. DeepRoute.ai cooperates with OEMs and mobility Companies, achieving self-driving commercialization. DeepRoute.ai utilizes advancements in technological research and commercialization to collaborate with OEMs, mobility companies, and other partners to make self-driving more readily available to the public. Through semantic mapping and a real-time positioning system, DeepRoute.ai’s planning and control algorithm can plan the optimal path under complex road environments, and provide a safe, comfortable and effective driving experience.

We co-create smart solutions that empower clients to make the transition to sustainable mobility and enable the automotive world to move forward. Driven by the convergence of new technologies, AI, IoT, connected infrastructure, digitization, electrification, we’re rapidly advancing toward a revolutionized automotive future. An exciting time, providing the ultimate freedom with zero accidents, zero emissions and zero ownership. This is a great prospect for society, the economy and the environment. We enable automakers to innovate across vital areas of advanced automotive and mobility technology. Combining the agility, energy and speed of a startup with the reach, positioning and manpower of an enterprise, we deliver highly complex solutions, at speed, in critical environments. Meet your current and future software needs in the age of autonomous driving. Differentiate with highly personalized and intelligent in-vehicle experiences.

Driver and Fleet Safety Platform. The only AI technology impacting driver behavior in real-time. Anticipate events before they happen to help avoid incidents, minimize repair and maintenance costs, and reduce fleet claims. Minimize your injury, liability, and processing costs with AI-enabled, real-time detection and incident reporting. Driver Behavior Alerts coach your entire fleet in real-time. For drivers that need additional fleet safety training, Nauto Manager-Led Coaching helps you prioritize drivers and guides you through the coaching process. Reduce operational and insurance costs associated with fleet collisions by preventing distracted and drowsy driving. Drive adoption with features designed to help protect driver privacy and provide transparency between managers and fleet drivers.

42dot combines cutting-edge technology with tailored connected services to optimize the process of moving people and goods. Our goal is to create a fully autonomous, centralized infrastructure for autonomous and frictionless transportation services. By accelerating the transition to autonomous Transportation-as-a-Service, we hope to bring valuable, life-enhancing products to the market. UMOS is a comprehensive mobility and logistics platform that integrates all forms of ground and air transportation services such as e-hailing, fleet management, demand-responsive transport, smart logistics and more. The platform encompasses multiple layers of functionality built with robust technology that provides enterprise-level scale. UMOS aims to create an ecosystem where we no longer have to worry about getting around. UMOS will take care of our mobility needs and everything related to being in motion.

​Analyzing your current automotive or robotic software systems to assess a path to commercialization. Transitioning your existing software to Apex.OS. Transitioning your existing environment to a state-of-the-art continuous integration, continuous testing, and continuous delivery framework. Providing software architecture reviews and recommendations. Providing functional safety training to enable your team to build your safe autonomous system. Apex.OS is a fork of ROS 2 that has been made real-time, reliable, and deterministic so that it can be used in safety-critical applications. Apex.OS is developed in sync with future releases of ROS 2 and APIs stay compatible to ROS 2. Based on the integration of Eclipse Cyclone DDS™ and Eclipse iceoryx™, both are available as open-source and proven in automotive and mission-critical distributed systems.

Easily monitor your vehicles. Make your drivers' commute more enjoyable. Optimize your fleet use. Our Team is here for you. We help you rationalize your vehicle fleet, whether we're taking short/long-term lease, corporate/peer to peer carsharing, autonomous vehicle service etc. Offering full portfolio of mobility solutions : onboard telematics, online supervision platforms and mobile apps. Managing a mobility service has never been so easy. Limitless mobility for your drivers. An innovative all-inclusive service. For Corporate or P2P use. Say goodbye to your keyboxes. Drivers now use their badge, smartphone or smart watch to unlock your fleet. Connect to your fleet through User or Manager Portal. Your vehicles are now available anywhere, anytime. Mentoring programs, 24/7 customer service, PR, training: a dedicated Mobility Manager will assist you all along your mobility project.

Connecting city infrastructures with digital assets, transforming traditional industries to create profit, social impact, and sustainability. We are a deep tech, AI driverless vehicle company developing our full-stack “lift and shift” driverless vehicle platform ConICAV™ for any vehicle type. We retrofit or custom-build driverless vehicles for industrial and commercial fleets, for a variety of different use cases. Utilizing AI and machine learning techniques, our ConICAV™ integrated solution improves asset management, customer experience, and operational efficiency. Conigital has secured a groundbreaking £500 million Series A+ funding offer from a global private equity firm with £150 billion under management.

Support various types of annotations on both images and videos. A scalable open-source web annotation tool. Support simple “click and drag” actions and options to add multiple attributes. Feature functions to fit boundaries with Bezier curves and copy shared boundaries. Annotate the area that the driver is currently driving on. Annotate lane marking for vision-based vehicle localization and trajectory planing. Accurate and intuitive four-click method to encapsulate objects of interest. Predict annotations between frames using object tracking and interpolation algorithm for bounding boxes. Annotation predictions for object instances. 2D tracking features extended to 3D.

Keylabs is a state-of-the-art platform that boosts up the process of preparing visual data for machine learning. Keylabs is created as a platform that incorporates state-of-the-art, performance oriented and user friendly annotation tools with built in machine learning and operation management capabilities. Supports all datasets formats for image and video annotation, including semantic segmentation, BB, cuboid, 3D Point Cloud, polygon, skeletal, key points, lane annotation, bitmask. Precision up to 99.9%*

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.

NoTraffic has developed the first AI-powered traffic signal platform that connects road users to the city grid, solving today’s traffic challenges while unlocking smart mobility benefits for the cities, and creating an entirely new way of life. Deploying the platform transforms any traffic signal into a smart infrastructure capable of understanding the complete traffic picture and responding in real time to all road users including detection and segmentation of bikes, cars, buses, pedestrians, and emergency vehicles. Cities use the cloud dashboard to define policies such as transit priority corridors or bike & pedestrian safety. AI software intelligently implements these policies at each traffic signal, operating intersections in real-time to autonomously manage an entire city grid based on actual demand, customized service for every type of user to cut congestion, reduce emissions and prevent accidents.

Anolytics provides data annotation service for image, videos & text for machine learning and AI-based computer vision. Anolytics offers a low-cost annotation service for machine learning and artificial intelligence model developments. It is providing the precisely annotated data in the form of text, images and videos using the various annotation techniques while ensuring the accuracy and quality. It is specialized in Image Annotation, Video Annotation and Text Annotation with best accuracy. Anolytics is providing all leading types of data annotation service used as a data training in machine learning and deep learning. It offers Bounding Boxes, Semantic Segmentation, 3D Point Cloud Annotation and 3D Cuboid Annotation for fields like healthcare, autonomous driving or drone falying, retail, security surveillance and agriculture. Anolytics works with scalable solution, available at turnaround time and cost-effective pricing for clients across the globe.

The future of the connected car experience: thin client application and cloud framework enabling consumer commerce, in-car media applications, mobile apps, and enterprise services. The Xevo Journeyware platform for cloud, car, and mobile devices enables multi-media applications, AI-driven contextual recommendations, and content delivery to give drivers and passengers an enhanced in-vehicle experience and provide automakers with new monetization opportunities. Components of Journeyware connected car platform are deployed in more than 25 million vehicles worldwide. Xevo Context recommendation engine utilizes Journeyware’s automotive AI technology to provide a dynamic, hyper-contextual user experience. This highly-relevant content is delivered as suggestions and offers based on drivers’ preferences, past behavior, time of day, vehicle location, current route, and more.

Simple and secure access to the world’s connected car data all in one place, helping our partners to innovate and solve mobility problems. The way we travel is changing. We’re living in a world that’s hyper-connected and our cars are becoming increasingly more connected too. Connected car data can offer you valuable insights to help transform your business and shape your future. Connected car data is accurate, authentic and most importantly, useful. The data comes from actual vehicles on the road, giving you unrivalled insights into driver needs and behaviours. We partner with leading vehicle manufacturers to harness the power that this data holds and make accessing it simple. For private and public sector businesses, the benefits of connected car data are huge. From locating traffic hotspots, to finding out where there are safety risks, to gaining insight into driver patterns and trends.

The SenseAuto intelligent automotive application platform enables our partners to capture new business opportunities and adopt cutting-edge AI technologies while riding the wave of intelligent automobiles. It comprises five parts - SenseAuto Cabin, SenseAuto Pilot, SenseAuto RoboX, SenseAuto Connect and SenseAuto Empower.

openpilot is open source software built to improve upon the existing driver assistance in most new cars on the road today. Tesla Autopilot like functionality for your Toyota, Honda, and other top brands. While engaged, openpilot includes camera based driver monitoring that works both day and night to alert the driver when their eyes are not on the road ahead.

iZND GPS Server is a leading web based GPS tracking platform successfully used by transportation companies, police and fire departments, utility companies, service organizations and other businesses with mobile workers around the world. iZND GPS Tracking Server scales from small installations to thousands of vehicles and operators. The platform supports hundreds of different tracking devices, a large number of maps and languages. Big companies and tracking partners can create separate tracking applications for different departments or customers on a single iZND GPS Server installation. The platform offers real time GPS tracking of multiple vehicles in a web browser. A live view of the entire vehicle fleet gives you control, the best vehicle can be dispatched for a job and specific vehicles can be followed when required. Alerts and notifications are instantly available in the application.

Our APIs, SDKs, and live updating map data give developers tools to build better mapping, navigation, and search experiences across platforms. Mapbox Studio is like Photoshop, for maps. We give designers control over everything from colors and fonts, to 3D features and camera angles, to the pitch of the map as a car enters a turn. Mapbox provides powerful routing engines, accurate, traffic-powered travel times, and intuitive turn-by-turn directions to help you build engaging navigation experiences. Search and geocoding is tied to everything we build — maps, navigation, AR — and underlies every app that helps humans explore their world. The Mapbox Vision SDK describes every curb, lane, street sign, and road hazard it sees as data. Developers use the SDK's AI-powered semantic segmentation, object detection, and classification to deliver precise navigation guidance, display driver assistance alerts, and detect and map road incidents.

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.

End to end scalable annotation solutions with swift turn-around-time & stellar accuracy. 2D/3D bounding boxes, polygons, polylines, landmark & semantic segmentation solutions to serve use cases ranging from LiDAR to Geo spatial imagery. Zuru’s teams work on complicated computer vision algorithms with complex edge cases & taxonomies. Text annotations in all major global languages including languages like Bahasa, Cantonese, Finnish, Hungarian & more. Fully managed & trained linguistic labelling experts who’ve annotated more than 10 million data points in industries ranging from Retail to BFSI to Healthcare. Be it sophisticated labelling for customer centre automation, basic transcription, Audio diarization, Zuru’s teams have done it all. Multilingual translator & interpreter workforce well versed in an array of accents and dialects helping AI teams understand cultural nuances in languages across geographies.

Geographic imaging professionals need to process vast amounts of geospatial data every day — often relying on software designed for other purposes and add-on applications that create almost as many problems as they solve. Save both time and money, leverage existing data investments, and improve your image analysis capabilities with ERDAS IMAGINE. ERDAS IMAGINE provides true value, consolidating remote sensing, photogrammetry, LiDAR analysis, basic vector analysis, and radar processing into a single product. ERDAS IMAGINE simplifies image classification and segmentation, orthorectification, mosaicking, reprojection, elevation extraction, and image interpretation. Powerful algorithms and data processing functions work behind the scenes so you can concentrate on your analyses. ERDAS IMAGINE offers K-Means, ISODATA, object-based image segmentation, Machine Learning and Deep Learning Artificial Intelligence algorithms.

Drive revenue and exceptional customer experiences. Dynamic prediction of risk to shipments, lanes, suppliers & networks enhances tactical planning. Process 25% more shipments up 50% faster. Create dashboards to help future performance analysis and modeling. Deliveries tracked on their way to the customer – from collection to end-point delivery. Rules drive automatic alerts to transform unrelated, detailed information from multiple disparate sources into unparalleled real-time business-focused intelligence. Our vision is to connect, plan, measure, see and communicate with a single source-of-truth for all data taxonomies. The outcome is a cloud-based digital, and real-time visibility platform integrating companies with their logistics fulfillment ecosystem managed by AI-enabled workflows.

Computer vision and artificial intelligence (AI) helps train equipment to control the quality of products in manufacture, train robots for movement autonomous and safety, train cameras to control and analyze traffic on retail, recognize types and colors of cars, food in the fridge, or make a map or 3D model of space from video. Algorithms help to predict sales in your business, find the relationship between metrics, publications and grow, classify customers for prepare personal offers, interpret and visualize the data, extract most important from text and video. Data Mining, regression, classification, correlation and cluster analysis, decision trees, prediction models, graphs, neural networks. Text classification, understanding, summarization and auto-tagging, named-entity recognition, compare for text similarity, sentiment analysis, dialog and QA systems. Detection, segmentation, recognition, recovery and image/video generation.

Your AI Data Platform Quality Training Data for Enterprise Data Labeling Software for Machine Learning Free on your Kubernetes Cluster Up to 3 Users. TRUSTED BY 5,000 HAPPY USERS WORLDWIDE Images, Video, Text Spatial Tools Quadratic Curves, Cuboids, Segmentation, Box, Polygons, Lines, Keypoints, Classification Tags, and More Use the exact spatial tool you need. All tools are easy to use, fully editable, and powerful ways to represent your data. All tools are available in Video. Attribute Tools More Meaning. More degrees of freedom through: Radio buttons. Multiple select. Date pickers. Sliders. Conditional logic. Directional Vectors. And more! You can capture complex knowledge and encode it into your AI. Streaming Data Automation Up to 10x Faster then manual labeling

Investor feedback and intelligence is of utmost strategic value. Use data analysis to leverage this knowledge efficiently and autonomously. Leverage NLP and machine learning tools to simplify your understanding on investor data. Identify, target and construct a long-term shareholder base with proprietary data. Involve your board and top management thanks to a transparent & collaborative solution. Collect, classify and analyse all your investor feedbacks. Interpret investor perceptions and expectations through powerful data visualisation tools. Facilitate the traceability of investor data. Spot trends and issues amongst your investor base. Get a complete and true investor profiling which allows you to build a complete and accurate picture of your targeting. Predictive analysis allows you to improve your perceptions of existing or new investors and differentiate your equity story.

Klatch Technologies is a global data services provider helping companies and institutions collect, annotate, and process data. We assist Artificial Intelligence companies, research institutions, Machine Learning or Computer Vision projects in data labeling, data collection, content moderation, and other data projects. Our Specialists provide rapid scalability, precise accuracy, swift turnaround time, multilingual capability, and data security at a low-cost. - Data Annotation Services: Image Annotation Video Annotation Search Relevance Text NLP Annotation Text Classification Sentiment Analysis Image Segmentation LIDAR Annotation - Data Collection Services: Healthcare Training Data Chatbot Training Data & all other data collection needs - IT Managed Services: Content Moderation Ecommerce Data Categorization

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.

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.

Keymakr’s advanced video annotation tools and our professional in-house annotation team ensure the best results for your computer vision training data needs. Annotating videos while tracking objects through multiple frames. Each object on the video will be recognized and tracked even through different cameras or separate video segments. We work with a diverse range of media to create precise, human-annotated training datasets. Our expertise with video annotation and labeling allow us to craft custom machine-learning datasets that meet the demands of your project. Improve the accuracy of your existing models. We verify and correct your algorithmic outputs, including: bounding boxes, polygon annotation, instance segmentation, semantic segmentation, and all other annotation types. Quality training data plays an important part in developing computer vision.

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.