PerCV.ai Vision AI Platform
PerCV.ai is a complete software and services platform that helps overcome the cross-industry problem of scaling Compueter Vision AI. Providing an end-to-end Vision AI infrastructure that brings together all the necessary building blocks: Vision Sensors & Edge Devices, Digital Vision Twin, Edge Hardware, Vision AI Software, Data Engine, APIs and AI Analytics.
![PerCV.ai Computer Vision Platform](/sites/default/files/styles/16_9_100/public/2023-04/Video%20Cover%20%283%29.jpg?itok=Vr-9WXix)
Main Characteristic
PerCV.ai (called Perceive AI) unlocks myriads of computer vision and AI applications, enabling solutions for people, vehicle and object detection, identification, tracking, and 3D pose estimation for a wide range of markets, such as Industry 4.0, Smart Cities, Smart Retail, Surveillance and Logistics.
Some of the Computer Vision & AI Solutions powered by PerCV.ai include:
- Packaging Integrity & QA: Real-time QA and product analytics for packaging bags of all types on indoor or outdoor conveyor systems.
- Inventory Management: Real-time Vision AI analytics solution for warehouse and plant management.
- Laser Process Monitoring: Welding process monitoring based on Vision AI, that automates QA & QC for laser cutting, laser welding and additive manufacturing processes.
- In-store Customer Analytics: GDPR-compliant people detection that allows non-identifying customer tracking and counting analytics.
- Inventory Analytics: Product identification and customer-shelf interaction analytics and alerting.
- Social Distancing: Calculation of the physical social distance for every person detected in a scene, guaranteeing identity safety & GDPR compliancy.
- Vehicle & Traffic Flow Monitoring: Computer Vision AI solution for 24/7 traffic flow monitoring that drives the new era in urban area management.
- Citizen Flow Monitoring: Safeguarding citizen safety, quality of life and accessibility to public spaces in full anonymity and privacy.
Business Categories
Cloud, Edge and Infrastructure
Last updated
25.04.2023 - 13:10