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    Cool Computer Vision Startups in 2022

    Computer vision is a prominent branch of artificial intelligence that focuses on developing solutions that can process, interpret, and comprehend visual input similarly to humans.

    It includes image segmentation, object detection, facial recognition, edge detection, pattern detection, image classification, and feature matching. It has applications in various leading sectors of the industry.

    Let’s look at some of the most interesting Computer Vision Startups.

    Sensifai provides a comprehensive video identification system that can be used to identify images and videos for things like sceneries, action, sports, celebrities, music, mood, and keywords. Using compact, lightweight, and power-efficient chipsets, it leverages video AI and edge computing using artificial intelligence. It also leverages deep learning for real-time, on-device segmentation and augmented video and picture data for robotics and mobile apps. It can identify athletes, celebrities, logos, locations, nudity, sceneries, items, and behaviors.

    Ubble is committed to enhancing internet security. Users of Ubble are shielded from identity fraud as well as unauthorized access to or use of their personal information. Ubble’s patented technology is based on real-time video recognition. It provides a smooth, safe, and compliant service for remote identity verification. The company’s technology is being utilized by established businesses like Société Générale, Crédit Agricole, Bpifrance and start-ups like Vybe, Yousign, Heetch, Bolt, Virtuo, Side, Stuart, and Frichti.

    Ellogon uses rich data, cutting-edge algorithms, and a top-notch research and development team to personalize immunotherapy. To quantify significant immunogram biomarkers, such as tumor-infiltrating lymphocytes (TILs), PD-L1 inhibition checkpoints, and Tumor Mutation Burden (TMB) linked biomarkers, Ellogon uses Exclusive Deep Learning technology to acquire algorithms of high accuracy and robustness. Medical professionals can choose the best patient for cancer immunotherapy with the help of Ellogon.

    Hazen Solutions powers clever algorithms with computer vision to analyze photos and content. Intelligent traffic analytics software is made to “understand” the motion of every vehicle using computer vision and deep learning. Hazen has developed AI-powered camera analytics to replace the need for costly RADAR or LiDAR deployments. It ensures road safety with Comprehensive Monitoring, Advanced Technology, and other functions.

    Instacrops support Latin American farmers to increase crop productivity. With artificial intelligence and computer vision techniques, Instacrops specializes in building IoT hardware and software for agriculture and integrates several data sources to deliver details on important crop-related factors on a single cloud-based platform. Through the services of Instacrops, users will receive real-time recommendations with actionable insights to help develop their crops utilizing the appropriate resources.

    gNext Labs works as an Enterprise data analytics provider, enabling users to capture video and picture data and turn it into helpful business and operational knowledge. They manage data analytics with computer vision. They automate feature recognition and prediction analysis using machine learning and artificial intelligence. Their innovative cloud-based SaaS technology generates highly accurate point clouds and 3D models as digital copies to address various industrial goals. These models offer very beneficial analytics that delivers data-driven insights. 

    The AI-powered cataloging tool from NeuroPixel enables users to photograph any clothes on a single mannequin and recreate the outfits on several models of various sizes and positions. It is a deep tech startup that works in computer vision and image processing for online retail shops using advanced AI/ML and statistical learning theory. Some of the best researchers in this field from IISc, ISB, and IITs are connected to NeuroPixel.

    Wobot.ai helps organizations by automatically detecting process compliance in hygiene, safety, security, and customer experience. Hundreds of pre-defined checklists and activities are available on Wobot’s AI-Powered Video Analytics platform, which uses current CCTV cameras to monitor them. This one-stop platform lets the user view all cameras, events, and incidents on a single application while providing real-time information. The system is functional and cost-effective with applications in the hospitality, retail, food service, and other significant industrial sectors.

    KoiReader is a startup technology company that uses its platform, business interfaces, and ISV alliances to allow Hyper Automation. Some of their Computer Vision for Good use cases are surveillance, theft prevention, and anti-truck lifting. They are an emerging technology company that allows Hyperautomation through a proprietary platform, business connectors, and ISV relationships. Cognitive optical imaging is the underlying technology. They provide extensive knowledge in various fields, including supply chain management, logistics, trade, EDGE computing, image processing, algorithms, and data science.

    Viso.ai provides Viso Suite, a no-code computer vision platform that enables businesses to build, deploy, and maintain computer vision applications from beginning to end. It solves end-to-end scalability issues, reduces development expenses, and improves privacy and security. Viso Suite enables intuitive visual programming to build computer vision applications with pre-built modules in a low-code/no-code editor. The integrated Edge Gateway connects the fleet of devices and protects all connectivity to the workspace. AI vision is achieved by local on-device deep learning, which is quick, economical, and privacy-preserving. It provides enterprises with a cloud workspace where they can create, implement, manage, and share whole AI vision applications. 

    By employing AI vision to examine player choices, Hawk-Eye combines the worlds of sports and computer science. Their technology can interpret information gathered from players and the motion of the ball or even automobiles in real time. Synchronized Multi-Angle Replay Technology (SMART) is the foundation for their video capture, review, clipping, and dissemination capabilities. It provides various goods and services which aim to revolutionize sports by judging the fairness of games and improving broadcasting powered by insights gained from their data.

    By utilizing artificial intelligence, machine learning, and hardware with AI capabilities, Trigo enables grocery shops to become more innovative. By leveraging the data gathered by their systems, merchants can delight customers, restructure their business processes, and redesign their marketing strategies. Trigo’s AI technology enables a smooth, unattended experience for clients from entry to exit. Customers at Trigo-wired stores can skip the checkout line. They can instead pay by directly scanning the items with their phone, finish their transaction, and go.

    Orbital Insight specializes in using computer vision to work on geo-analytics. To illuminate social, economic, and environmental activities, Orbital Insight integrates a variety of sensor data into its Go platform, including radio frequency monitoring, electro-optical, and synthetic aperture radar (SAR). The company analyses human activity and offers companies and governments valuable behavioral insights using satellites, drones, balloons, UAV film, and geolocation data from mobile phones. To improve their geospatial data and assist the goal of enhancing their geospatial data and helping them in better comprehending international supply chains, geopolitical events, and security issues, Orbital Insight has collaborated with several prominent names, including the World Bank and the US Department of Defense.

    Magic Leap creates interactive learning and training solutions with its enterprise augmented reality technology. Magic Leap is a unique wearable technology that enables people to interact with digital gadgets in a visually cinematic fashion. Their headsets immerse users in 3D environments with cutting-edge sensors and top-notch visuals, utilizing virtual reality and computer vision possibilities. Then, organizations may conduct complex simulations to train their workers for a range of different workplace scenarios.

    Nauto is a top supplier of cutting-edge advanced driver assistance system (ADAS) technology that raises the level of current commercial fleet safety and future autonomous cars. Nauto tracks fleets’ on-road behavior using computer vision and AI technology to promote improved driving practices. Nauto foresees impending crashes and informs drivers in real-time using a system of AI-based cameras and sensors. Nauto’s solutions incorporate predictive-AI technology, data science, and more than 1.3 billion driving kilometers analyzed by AI to foresee and prevent accidents. This innovative method can boost driving prowess and lessen collision losses while delivering a quick return on investment.

    Note: We tried our best to feature the cool Computer Vision Startups but if we missed anything, then please feel free to reach out at Asif@marktechpost.com
    Please Don't Forget To Join Our ML Subreddit

    References:

    • https://viso.ai/computer-vision/most-popular-computer-vision-companies-and-startups/
    • https://builtin.com/artificial-intelligence/computer-vision-companies-startups
    • https://omdena.com/blog/computer-vision-startups/
    • https://wobot.ai/
    • https://sensifai.com/
    • https://www.ubble.ai/
    • https://ellogon.ai/
    • https://hazen.ai/
    • https://www.instacrops.com/en/home/
    • https://www.gnextlabs.com/
    • https://www.neuropixel.ai/
    • https://www.koireader.com/
    • https://viso.ai/
    • https://www.hawkeyeinnovations.com/
    • https://www.trigoretail.com/
    • https://orbitalinsight.com/
    • https://www.magicleap.com/
    • https://www.nauto.com/



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    Consultant Intern: Currently in her third year of B.Tech from Indian Institute of Technology(IIT), Goa. She is an ML enthusiast and has a keen interest in Data Science. She is a very good learner and tries to be well versed with the latest developments in Artificial Intelligence.


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