10 Top Computer Vision Startups to Watch in 2023

How are advances in analytics and AI driving the integration of computer vision across industries? Discover 10 hand-picked Computer Vision Startups to Watch in 2023 in this report & their solutions. They span from video analytics, real-time business intelligence, neural network accelerators, and more!

Global Startup Heat Map highlights 10 Computer Vision 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 750 computer vision startups. The Global Startup Heat Map below highlights the 10 computer vision startups you should watch in 2023 as well as the geo-distribution of all 750 startups & scaleups we analyzed for this research. Based on the heat map, we see high startup activity in the US, followed by Western Europe and India. These computer vision startups work on solutions ranging from data logging to neural network accelerators and footage analysis to movement analysis.

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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 Computer Vision Startup Hubs are in London, Bangalore, New York City, San Fransisco & Singapore. The 10 hand-picked startups highlighted in this report are chosen from all over the world and develop solutions for face analysis, content recognition, business intelligence, and labeled datasets.

10 Top Computer Vision Startups to Watch in 2023

Innovations in computer vision enable machines to better perceive, understand, and interpret visual information using object detection, recognition, and tracking. Deep learning models, such as convolutional neural networks (CNNs), demonstrate remarkable accuracy in detecting and identifying objects in images and videos. This leads to applications like autonomous vehicles, surveillance systems, and facial recognition. Image segmentation techniques allow computers to understand and separate different objects within an image. Additionally, breakthroughs in image generation and synthesis enable the creation of realistic images from textual descriptions or modifying existing images. These innovations expand computer vision’s applications beyond traditional boundaries, contributing to advancements in healthcare, robotics, augmented reality (AR), and more.

Rerun aids Computer Vision Data Logging

Swedish startup Rerun uses a software development kit (SDK) and visualizer to log computer vision and robotics data. It handles playback from recordings as well as live streams from multiple processes across the network. The SDK utilizes transform hierarchies to lay out scenes and build configurable visualizations based on the logged data. Rerun’s SDK and visualizer enable developers and researchers to do visual debugging for computer vision codes.

Kibsi simplifies CCTV Footage Analysis

US-based startup Kibsi develops a computer vision platform that uses existing CCTV systems to aid business monitoring. It features a flexible architecture and a real-time dashboard that lets companies stream from multiple cameras and provides insights. The startup’s solution leverages computer vision to enhance workflows and business processes in real time. Kibsi caters to the manufacturing, supply chain, transportation, and retail sectors, delivering object detection to improve floor and asset management.

Cord Technologies offers AI-assisted Visual Annotation

Cord Technologies is a UK-based startup that provides a data engine for AI model development. It features an AI-assisted annotation system to efficiently label computer vision modality and provide insights based on visual data. The platform also improves model accuracy by identifying and correcting errors in the data and visual labels. Further, it is an active learning platform that helps in taking a computer vision model to production with minimal codes, saving time for project managers and engineers.

Neuronix AI Labs provides a Flexible Neural Network Accelerator

US-based startup Neuronix AI Labs utilizes a flexible neural network accelerator to reduce mathematical calculations for image classification and segmentation. It allows chip vendors to build their own silicon by providing the accelerator as a service to enable computer vision on end devices. The startup also delivers flexible deployment models that support the integration with system-on-chip (SoC) and field-programmable-gate-arrays (FPGA) devices. Neuronix AI Labs caters to the automotive, drone, industrial, and healthcare sectors to reduce cost and power consumption while improving hardware performance.

Tooliqa delivers AI-driven Vision Intelligence

Tooliqa is a US-based startup that integrates AI into computer vision to help organizations monitor visual data. It combines deep learning, extended reality (XR), and sensor intelligence for anomaly detection, video analysis, and more. The startup offers Twinn, a handheld device with built-in vision intelligence to perceive and display the environment in 3D. It utilizes deep learning and computer vision algorithms to read the sensor data and reconstruct precise 3D data in real-time. This enables businesses across industries to create digital twins without in-house product development.

 

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Viziotix develops a Barcode Scanner SDK

French startup Viziotix develops a barcode scanner SDK to turn any camera into a barcode scanner. The solution works with smartphones, robots, drones, and other camera-enabled automated and mobile devices. It identifies and detects complete barcodes and features rapid decoding speeds while ensuring robust analysis and information accuracy. Faster scan rates, scan rate success, and lower integration time enable Viziotix to increase efficiency in logistics, post & parcel, and retail industries.

Zumo Labs provides Pre-Labeled Datasets

US-based startup Zumo Labs offers pre-labeled, pixel-perfect datasets for solving computer vision challenges. The startup develops zpy, a synthetic data toolkit for collecting, labeling, and cleaning computer vision data. It features large custom datasets on demand and leverages techniques like domain randomization to close the appearance gap. Zumo Labs thus simplifies human activity recognition, object detection, and defect detection in office, warehouse, and retail spaces.

Sentispec delivers Real-Time Business Intelligence

Sentispec is a Danish startup that provides an AI platform to generate visual insights and better interpret business processes. The startup’s platform, Sentispec Access AI, utilizes visual data from video cameras to deliver timely insights. By integrating computer vision data streams and robotic process automation (RPA) of video data, the startup optimizes the supply chain. Sentispec turns the camera data from the storehouses into an automated stock-tracking system for inventory management in the supply and logistics industries.

API4AI provides Computer Vision-based Business Solutions

US-based startup API4AI provides personalized AI and computer vision solutions for businesses. The startup leverages machine learning and computer vision for product and business development. This way, it extracts information from datasets and automates the business to reduce operational costs. It also supports face analysis, background removal, brand recognition, and personal protective equipment (PPE) monitoring. API4AI helps small, medium, and large-scale enterprises maximize profits and minimize expenses through its solution.

Gymee enhances Body Movement Analysis

Gymee is an Israeli startup that analyzes body movements through computer vision AI in open, multi-person environments. It collects the data through pose analysis and creates a 360-degree body movement database for virtual training. The solution also uses a multi-cam system to identify and track workout metrics by combining computer vision and biomechanics models. The startup’s human pose estimation thus advises on correct body posture and speed and range of motion to the users. By detecting instances of semantic objects, Gymee enables real-time guidance and automatic logging of workout data for progress tracking.

Discover All Emerging Industry 4.0 Startups

The Industry 4.0 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!

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