Staying ahead of the technology curve means strengthening your competitive advantage. That is why we give you data-driven innovation insights. This time, you get to discover 5 hand-picked machine vision startups.
Out of 1 122, the Global Startup Heat Map highlights 5 Top Machine Vision Startups
The insights of this data-driven analysis are derived from the Big Data & Artificial Intelligence (AI)-powered StartUs Insights Discovery Platform, covering 2 093 000+ startups & scaleups globally. The platform gives you an exhaustive overview of emerging technologies & relevant startups within a specific field in just a few clicks.
The Global Startup Heat Map below reveals the distribution of the 1 122 exemplary startups & scaleups we analyzed for this research. Further, it highlights 5 machine vision startups that we hand-picked based on criteria such as founding year, location, funding raised, and more. You get to explore the solutions of these 5 startups & scaleups in this report. For insights on the other 1 117 machine vision startups, get in touch.
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mVizn offers a Vehicular Tracking System
Founding Year: 2017
Location: Singapore
Industries: Mobility, Industry 4.0
Singaporean startup mVizn combines AI and machine vision to offer real-time insights for vehicular tracking and facility management. The startup’s vehicular tracking system monitors vehicles in any facility such as car parks, shopping malls, or warehouses. It provides a real-time digital representation of a vehicular facility and monitors every vehicle with precision. The startup also provides solutions for security and facility supervision. The security suite solution enables the dynamic definition of restricted areas and facilitates the detection of unclaimed articles in real-time.
Saccade Vision enables Industrial Inspection Automation
Founding Year: 2019
Location: Rehovot, Israel
Industries: Manufacturing, Industry 4.0
Israeli startup Saccade Vision develops a machine vision solution for industrial automation. Utilizing a micro-electromechanical system (MEMS)-based 3D triangulation profiler and 3D machine vision, the startup’s solution enables dimensional inspection and robotic guidance. It scans in multiple directions, with important locations selectively in high resolution, and locally optimizes data acquisition and data processing. Its flexible design enables the use of the same inspection hardware for different parts and processes. Besides, the solution provides advanced process and machine health analytics to optimize manufacturing.
Neurolabs facilitates Retail Shelf Optimization
Founding Year: 2018
Location: Cluj-Napoca, Romania
Industry: Retail
Romanian startup Neurolabs enables automated shelf optimization for retail stores. The startup’s solution, ReShelf, identifies gaps on shelves and provides alerts about stock-keeping units (SKUs). The system integrates with existing enterprise resource planning (ERP) or robotic process automation (RPA) systems and ensures data continuity and holistic inventory management. It uses synthetic data, advanced machine learning (ML) techniques, and computer-generated imagery (CGI) models to create labeled data that are optimized for machine vision models. The system helps supermarkets and retail stores to optimize inventory planning without the hassle of manual checking of stocks.
Algomedicus offers AI-based Medical Diagnosis
Founding Year: 2019
Location: Ankara, Turkey
Industries: Healthcare, Pharma
Turkish startup Algomedicus develops AI-based software and devices for medical treatment processes. The startup uses image processing, machine vision, pattern recognition, and statistical and machine learning algorithms to provide a precise diagnosis. Its chest radiology module detects lung cancer, pneumonia, and cardiomegaly from X-ray images. This helps medical practitioners by aiding them in the early diagnosis of diseases and providing proactive medical care.
Luna provides Fleet Management
Founding Year: 2019
Location: Dublin, Ireland
Industries: Mobility, Automotive
Luna is an Irish startup that provides positioning technology for shared scooter fleets. The startup’s platform uses machine vision and AI to identify scooter parking spaces using QR codes located around the scooter parking site. It uses a range of smart cameras and edge AI algorithms to provide information regarding vehicle health alongside the precise location of each vehicle. The system also features such as lane recognition, pedestrian detection, helmet detection, and camera-assisted parking, among others. By furthering micromobility, Luna’s solution addresses traffic congestion and reduces the risk of accidents.
Discover more Machine Vision Startups
Startups such as the examples highlighted in this report focus on predictive analytics, deep learning, and flow detection. While all of these technologies play a major role in advancing the industry, they only represent the tip of the iceberg. To explore more machine vision technologies, simply get in touch to let us look into your areas of interest. For a more general overview, you can download one of our free Industry Innovation Reports to save your time and improve strategic decision-making.
