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ViNotion BV

Since 2007, ViNotion has established itself as a leading specialist in Vision AI technology. Our mission is to make the value of Vision AI globally accessible for products. We believe in the potential of artificial intelligence to interpret visual information and apply it for innovations across various industries. Through close collaboration with manufacturers, we deliver embedded Vision AI technology for both existing and new products, enabling advanced solutions. Our ViSense® framework allows rapid product development. With our ready-to-use building blocks, OEMs and ODMs can accelerate time-to-market, optimise R&D investments, and provide customised solutions that perfectly meet customer needs.

ViNotion offers an advanced video processing and analysis framework with an extensive library of standard components. For OEM clients, this provides:

- Direct access to AI software experts

- Fast time-to-market with the ViSense® framework

- No steep learning curve, ready for immediate use

- No high initial investments since we already covered

- Competitive advantage with state-of-the-art technology

- Delivery of embedded real-time software up to TRL 8-9

 

 

Type
Large Industry
Country
Alt The Netherlands
Website
https://www.vinotion.com

Documents

Project participation

ITEA Call 2025
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SwarmAI

Autonomous AI-powered Swarm Platform for GNSS-denied Scenario-critical Civil Tasks

ITEA Call 2023
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ADVISOR

Cooperative Missions of Autonomous Vehicle Swarms for Surveillance Tasks

ITEA Call 2022
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SINTRA

Security of Critical Infrastructure by Multi-Modal Dynamic Sensing and AI

ITEA 3 Call 5
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Winner ITEA Award of Excellence Exceptional Excellence 2024
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SMART

Spatial Modelling Analytics & Real-time Tracking

ITEA 3 Call 2
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Winner ITEA Award of Excellence Exploitation and Unique partnerships 2020
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PS-CRIMSON

Public Safety and Crisis Management Service Orchestration

ITEA 2 Call 8
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APPS

Advancing Plug & Play Smart Surveillance

ITEA 2 Call 7
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MACH

MAssive Calculations on Hybrid systems

ITEA 2 Call 3
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ViCoMo

Visual Context Modelling