AI-Based Safety Monitoring System
Intelligent Surveillance with LiDAR-Based Motion Tracking
We developed an Edge AI surveillance system that uses LiDAR and depth sensors to record only meaningful activity, minimizing bandwidth and storage needs. By integrating computer vision and depth analysis, the system enables accurate, efficient, and privacy-conscious monitoring for smart infrastructure and industrial environments.
Traffic Monitoring and Violation Detection Using Edge AI
We developed an AI-powered traffic monitoring system to help government agencies and smart-city departments detect violations, analyze flow, and ensure road safety in real time. By combining computer vision, Edge AI, and custom-trained models, the system delivers actionable traffic insights directly from on-site cameras.
Reducing False Positives in Motion Sensors with Edge AI
We solved one of the most persistent challenges in motion detection, false alarms triggered by irrelevant movement, using Edge AI and object detection. The system intelligently filters real motion events from environmental noise, ensuring accurate detection and reliable alerts even in dynamic outdoor conditions.
Railway OHE Measurement and Monitoring System for High-Speed Operations
We solved one of the most complex challenges in railway infrastructure, accurately measuring overhead equipment (OHE) during high-speed train operations using AI and computer vision. The system enables real-time, automated detection and analysis of pantographs, masts, and contact wires, helping railways maintain safety, precision, and efficiency at scale.
