New integrated platform blends 3D perception, video analytics and edge-native LiDAR to support critical sectors like railways, transport and perimeter security
Indian surveillance manufacturer Sparsh CCTV has partnered with global LiDAR sensing leader Innoviz Technologies Ltd and 3D perception specialist Cron AI to unveil a next-generation integrated sensing platform. The collaboration, announced this week, merges LiDAR, deep learning, and video intelligence to deliver real-time, localised surveillance—tailored for large-scale deployments across transport networks, perimeter fencing, and national infrastructure.
The partnership arrives amid surging demand for intelligent, resilient surveillance systems in India. The country’s perimeter security market, valued at USD 3.23 billion in 2022, is forecast to grow at a CAGR of 14 per cent through to 2030. Meanwhile, India’s intelligent transport systems (ITS) market—estimated at USD 1.44 billion this year—is on an upward trajectory, bolstered by railway modernisation initiatives drawing in over USD 1.3 billion in planned investment.
The trio’s integrated solution addresses a combined market potential exceeding USD 1 billion. By blending Cron AI’s edge-native 3D AI stack with Innoviz’s high-performance LiDAR and Sparsh’s established video surveillance portfolio, the new platform delivers continuous, real-time situational awareness. Notably, all data is processed locally, removing reliance on cloud infrastructure and ensuring operability in environments with unreliable connectivity or limited power resources.
Sparsh, with a manufacturing capacity of over 500,000 units annually and operational presence in more than 120 Indian cities, will lead market rollout, integration, and potentially localised production of the combined offering.
“This alliance takes intelligent surveillance to a new level,” said Sanjeev Sehgal, Founder and Managing Director at Sparsh CCTV. “By combining world-class LiDAR and 3D AI capabilities with our proven vision technologies, we’re creating solutions built for the unique challenges of Indian environments—dust, heat, low visibility, and unpredictable power conditions.”
The launch underscores a broader shift in India’s security landscape, as infrastructure planners increasingly turn to edge-based, AI-powered systems that can operate autonomously, scale easily, and respond to real-world complexity in real time.