How incident detection powered by
Deep Learning can improve road management 

Innovation has been Citilog’s DNA from the beginning. As a company, we invest heavily in R&D but also in public and private partnerships that help us deliver the best possible solutions.

For more than a decade, we have been leveraging our vision analytics with Deep Learning (DL). This technology combined with our 25+ years of experience have taken the performance of Automatic Incident Detection to the next level.

Elevate your system with cutting-edge Pedestrian Detection

• Enhanced road safety: Alerting drivers to pedestrians, reducing accidents.
• Real-time alerts for rapid response.
• Flexible lane detection for versatile use.
• Improved risk management with trajectory visualization.
• Precise detection trained on diverse scenarios.

Citilog strengths 

• Combination of pixel analytics and deep learning algorithms, enabling a detection range of 300 meters that cannot be achieved through deep learning alone. 
• Experience the lowest false alarm rate in the market, with a base of 60,000 installed cameras, no one can match our capabilities. 
• Optimize hardware requirements with cost-effective solutions. Totally camera agnostic, one server can handle up to 100 streams. 
• Easily deploy our off-the-shelf product, that has been extensively tested in various configurations. No on-site learning is required. 
• Expert technical support, our team at Citilog consists of six engineers with an average of over 10 years’ experience. 
• Lowest total cost of ownership: redundancy, cybersecurity, maintenance contract and upgrade.