Sparsh CCTV, one of Indias leading manufacturers of smart cameras and integrated surveillance solutions with multiple government and enterprise clients in India , Innoviz Technologies Ltd. NASDAQ: INVZ, a global automotive leader in LiDAR solutions, and Cron AI, a leading deep learning 3D perception provider, announced today the collaboration to offer an integrated LiDAR-camera-vision perception platform, purpose-built for large-scale deployment across transport, perimeter security, railways and critical infrastructure.
The announcement comes at a time when Indias perimeter security sector is valued at USD 3.23 billion 2022 and projected to grow at a CAGR of 14 through 2030. The intelligent transport market, currently worth USD 1.44 billion 2024, is expected to more than double by 2033. Meanwhile, railway modernization and infrastructure investments exceed USD 1.3 billion, driven by national programs like DFCCIL and Kavach. Together, these sectors represent over USD 1 billion4 in addressable opportunity for edge-native LiDAR-camera systems - with massive scaling potential through 2030.
With a footprint across 120 cities, a network of 2,000 partners and an annual production capacity of 500,000 security devices, Sparsh will lead go-to-market efforts, support integration and explore local manufacturing for the unified sensing platform.
The edge-native perception nodes - combining high-performance LiDAR, deep-learning perception, and vision analytics - are expected to be a part of security infrastructure upgrade project which is planned to go live at critical infrastructure across India . These systems are intended to deliver real-time insights into vehicle movement, pedestrian safety and perimeter activity - all processed on the edge, without reliance on cloud compute or high-power infrastructure.
This partnership marks a major leap in how India can deploy high-performance, real-time sensing at scale, said Sanjeev Sehgal , Founder and MD of Sparsh CCTV . By integrating global best-in-class LiDAR and 3D perception into our portfolio, were equipping our customers across cities, industries, and government with intelligent systems that are built for Indian conditions and ready to scale.