Global Startup Heat Map highlights 10 Object Recognition Startups to Watch in 2023
Through the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, which covers over 3 790 000+ startups & scaleups globally, we identified 972 Object Recognition startups. The Global Startup Heat Map below highlights the 10 object recognition startups you should watch in 2023 as well as the geo-distribution of all object recognition startups & scaleups we analyzed for this research. Based on the heat map, we see high startup activity in the US and Western Europe, followed by India. These object recognition startups work on solutions ranging from AI-driven person detection software and object tracking platform to IoT-based debris detection and dashcam footage analysis.
Click to download
As the world’s largest resource for data on emerging companies, the SaaS platform enables you to identify relevant technologies and industry trends quickly & exhaustively. Based on the data from the platform, the Top 5 Object Recognition Startup Hubs are in New York City, London, Bangalore, San Francisco, and Los Angeles. The 10 hand-picked startups highlighted in this report are chosen from all over the world and develop solutions for automated image analysis, AI-powered person detection, object detection API, and computer vision-based project automation.
10 Object Recognition Startups to Watch in 2023
The advancements in computer vision and AI have opened new doors of possibilities for object recognition startups. From computer vision-based project automation to electromagnetic object recognition, object recognition is revolutionizing various industries. Dashcam footage analysis, object tracking platforms, and computer vision annotation platforms are becoming more popular. Additionally, automated image analysis, object detection APIs, and video intelligence platforms are providing innovative solutions for businesses. Let’s take a look at the top 10 object recognition startups to watch in 2023 that are shaping the future with their cutting-edge technologies.
- Tusker AI – Computer Vision-based Project Automation
- Polysurance – Dash Cam Footage Analysis
- FirstStep.ai – Object Tracking Platform
- Reveal AI – Computer Vision Annotation Platform
- ml4vision – Automated Image Analysis
- DeepLobe – Object Detection Application Programming Interface (API)
- VisualCortex – Video Intelligence Platform
- ProjAIX – AI-based Person Detection Software
- Bridgesoft – Internet of Things (IoT)-based Debris Detection
- Frenel Imaging – Electromagnetic Object Recognition
Tusker AI enables Computer Vision-based Project Automation
Indian startup Tusker AI offers a no-code computer vision platform. It enables construction, manufacturing, and logistics brands to automate and monitor their projects. The platform also enables image and video analytics using object recognition technology. This allows it to perform tasks such as defect inspection, productivity indexing, standard operating procedure (SOP) compliance checks, and worker safety monitoring. The platform also leverages its automated vision framework (AVF) to track and monitor worker productivity, enhance on-site security, and enable predictive maintenance. Tusker AI’s no-code platform has no cost for setup and no extra hardware requirements. This makes it an easy way for construction managers to merge it into existing workflows and eliminate the hassles of manual work monitoring.
Polysurance facilitates Dashcam Footage Analysis
Polysurance is a UK-based startup that provides computer vision-based dashboard camera footage analysis for the insurance and fleet management industry. Vision Telematics, its platform, leverages AI to assess driving behavior from a car’s dash cam footage. Using 3D object detection and tracking, depth estimation, and risk modeling, Polysurance provides insurers with data to assess risk profiles, offer discounts, and reduce claims. It also offers driving behavior analysis of drivers for risky behaviors. This includes tailgating, lane positioning, reaction times, and near misses. Additionally, the platform works with PolyCam, an accompanying app that lets drivers use any smartphone as a dash cam and sync it to the cloud. Polysurance’s platform improves driving behavior, reduces fraudulent claims, and helps create behavior-based insurance products.
FirstStep.ai develops an Object Tracking Platform
Mauritian startup FirstStep.ai creates a web-based visual AI platform that uses object recognition to detect and track objects and people in real time. Businesses use it to track crates and bottles in manufacturing, medical images in healthcare, and bushfires in environmental monitoring. The platform uses object recognition for defect detection, document classification, predictive maintenance, and posture detection. It also enables financial fraud detection, and medical image classification and segmentation. The platform is easy to deploy on mobile and edge devices, allowing users to access it without coding. FistStep.ai’s platform provides businesses with a cost-effective solution for monitoring and managing their assets, thereby improving workflow efficiency and reducing operational costs.
Reveal AI makes a Computer Vision Annotation Platform
German startup Reveal AI provides an AI-powered computer vision annotation platform for industries like retail and manufacturing. The startup uses deep learning algorithms to enable users to create, manage and label datasets of images and videos. It also allows for the training and deployment of custom models for object detection, segmentation, and classification. The platform is cloud-based, scalable, and user-friendly as well as supports a wide range of data formats and network protocols. Reveal AI’s platform accurately detects and analyzes traffic patterns to predict potential issues. It then provides actionable insights for improving traffic flow and reducing congestion in the streets and parking spaces. This is particularly valuable for cities and municipalities to improve their transportation infrastructure and reduce traffic-related emissions.
ml4vision enables Automated Image Analysis
Belgian startup ml4vision offers an automated image analysis platform for logistics, manufacturing, sports analytics, and aerial imagery. It combines computer vision and machine learning (ML) to segment visual data. The platform then extracts relevant information such as object counting, localization, and pixel-perfect segmentation. ml4vision’s platform is also a cloud-based platform, allowing customers to easily manage their visual data and integrate the analysis results into existing workflows. ml4vision does not use a fixed algorithm for its platform and offers companies customized solutions. This allows for greater flexibility and scalability as well as more efficient use of resources.
DeepLobe provides an Object Detection API
DeepLobe is an Indian startup that develops an object detection API. It allows businesses to create and deploy ML models using object detection. Hospitals use it for 3D computer image diagnosis and detection and counting of cancer cells to reduce diagnosis time and improve patient outcomes. It also monitors the rate at which cancer is spreading. Integration of the object detection API in healthcare operations reduces operational time and enhances surgical accuracy. As the API helps detect humans, vehicles, and weapons, businesses use it for automated security and surveillance systems in public places or in autonomous vehicles. By integrating the startup’s API, businesses leverage computer vision to enhance their operational efficiency and improve customer experience.
VisualCortex makes a Video Intelligence Platform
Australian startup VisualCortex develops an eponymous video intelligence platform. It runs multiple ML models on any video source, such as live streams, cameras, or footage repositories. The platform detects and tracks objects, actions, and events in real-time or offline. Then, it provides analytics and reports for various use cases. VisualCortex uses semantic segmentation to identify and label pixels in a video frame related to a particular type of object. It also uses this to recognize and label different instances of the same type of object in the video. In eCommerce and virtual retail, it enables shoppers to try on clothes, test makeup, and search for similar garments. For self-driving cars, manufacturers integrate it into the in-car user interface to detect and distinguish objects like lanes, pavement, other vehicles, and pedestrians.
ProjAIX develops AI-based Person Detection Software
ProjAIX is an Israeli startup that provides an AI-powered person detection tool. It uses proprietary Fission Engine technology, which combines AI, ML, and computer vision, to extract information from images and videos and transform them into business insights. The software locates human faces or bodies in digital photos and videos regardless of head pose, lighting conditions, and skin color. Usable by surveillance professionals and authorities, it also monitors whether a set of faces in a video belong to the same person. Occupancy management teams and store owners also use ProjAIX’s tool to count footfall and identify time spent by customers in-store.
Bridgesoft enables IoT-based Debris Detection
Turkish startup Bridgesoft develops a Smart Debris Reporting System. It is a multi-layered IoT system that uses object recognition to detect building debris after an earthquake. The system consists of a prototype device with a microcontroller, a sensor, and a global positioning system (GPS) module that communicates with a cloud service provider. It also has a web-based user interface that shows the location and status of the debris. Additionally, the startup develops a Loading Ramp Warning System that uses computer vision. It warns drivers about workers around the loading area in warehouses, ensuring their safety. Bridgesoft’s systems enable businesses to avoid and assess the damage and plan the recovery process more efficiently and safely in risk-prone work environments.
Frenel Imaging enables Electromagnetic Object Recognition
Frenel Imaging is an Israeli startup that makes proprietary infrared imaging and image processing technology. The technology provides an accurate image of the object, regardless of lighting conditions or camouflage. The startup uses AI-based image processing to analyze the electromagnetic signature and decode the real image. This also allows for the identification of its material and accurate measurements of its temperature. The startup’s technology has applications in medical devices, industrial inspections, security, autonomous vehicles, agriculture monitoring, and aerospace. It enhances object recognition, material identification, 3D imaging, and accurate temperature measurement.
Discover All Emerging Industry 4.0 Startups
The Object Recognition startups showcased in this report are only a small sample of all startups we identified through our data-driven startup scouting approach. Download our free Industry 4.0 Innovation Report for a broad overview of the industry or get in touch for quick & exhaustive research on the latest technologies & emerging solutions that will impact your company in 2023!
