Sparsh CCTV, one of India's leading manufacturers of smart cameras and integrated surveillance solutions with multiple government and enterprise clients in India, Innoviz Technologies Ltd., a global automotive leader in LiDAR solutions, and Cron AI, a leading deep learning 3D perception provider, announced today they are collaborating 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 India's perimeter security sector is valued at USD 3.23 billion (2022) and projected to grow at a CAGR of 14% through 2030¹. The intelligent transport market, currently worth USD 1.44 billion (2024), is expected to more than double by 2033². Meanwhile, railway modernization and infrastructure investments exceed USD 1.3 billion³, 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 part of a 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. "By integrating global best-in-class LiDAR and 3D perception into our portfolio, we're equipping our customers — across cities, industries, and government — with intelligent systems that are built for Indian conditions and ready to scale."

Built for the Edge. Ready for India.
The integrated platform considers the complexities of Indian outdoor environments — heat, dust, glare, fog, and electrical instability — and delivers continuous, low-latency awareness at the edge.

• InnovizSMART LiDAR delivers long-range, high-resolution, uniform 3D coverage, built to perform in harsh weather and lighting conditions.
• Cron AI's senseEDGE processes every point in the LiDAR cloud using deep learning — not clustering — for greater accuracy, richer context, and consistent performance. It runs at just 8 watts, with no GPU or external infrastructure.
• Sparsh's vision systems contribute intelligent classification, layered redundancy, and real-time visual analytics — enhancing overall system reliability.
   

Together, they create a true sensor fusion platform, where 3D point cloud, video vision, and edge-native AI combine to deliver next-gen situational awareness — deployable in the near future.

"India's infrastructure needs intelligence that's fast, reliable, and frictionless," said Tushar Chhabra, Founder and CEO of Cron AI. "We built senseEDGE for exactly this kind of real-world complexity. With Sparsh and Innoviz, we're making 3D perception truly scalable across India's cities and critical infrastructure."

"Innoviz is proud to bring our rugged, automotive-grade LiDAR technology to one of the world's fastest growing infrastructure markets," said Omer Keilaf, CEO and Co-founder of Innoviz Technologies. "Paired with Cron AI's powerful edge-native perception and Sparsh's national reach, we are going to enable real-time intelligence for India's transport, security, and smart city initiatives."

From intersections, railways to critical infrastructure and perimeters, this is the future of sensing in India — real-time, intelligent, and built for deployment at scale.

TrendForce 2025 Infrared Sensing Application Market and Branding Strategies
Release: 01 January 2025
Format: PDF / EXCEL
Language: Traditional Chinese / English
Page: 196