Sparsh CCTV, Innoviz Technologies and Cron AI are working together to offer security and intelligent transport system (ITS) technology across India.

The parties aim to deploy lidar-camera perception nodes for perimeter and area monitoring, unlocking real-time, edge-native intelligence for critical infrastructure.

Sparsh CCTV is an Indian manufacturer of smart cameras and integrated surveillance with multiple government and enterprise clients in India. Innoviz Technologies is an Israeli specialist in automotive lidar. And UK firm Cron AI provides deep learning 3D perception technology. The three companies 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.

India’s perimeter security sector was valued at $3.23bn in 2022, and is projected to see a CAGR of 14% till 2030. The intelligent transport market, worth $1.44bn in 2024, is expected to more than double by 2033. Meanwhile, railway modernisation and infrastructure investments exceed $1.3bn, driven by national programmes such as DFCCIL (dfccil.com) and Kavach. Together, these sectors represent over $1bn in addressable opportunity for edge-native lidar-camera systems, with massive scaling potential until 2030.

With a footprint across more than 120 cities, a network of 2000 partners and an annual production capacity of over 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 that 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, managing director of Sparsh (www.sparshsecuritech.com). “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.”

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.

Innoviz’s smart 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 rather than clustering for greater accuracy, richer context and consistent performance. It runs at just 8W, with no GPU or external infrastructure. Sparsh’s vision systems contribute intelligent classification, layered redundancy and real-time visual analytics, enhancing overall reliability.

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

“India’s infrastructure needs intelligence that’s fast, reliable and frictionless,” said Tushar Chhabra, CEO of Cron AI (cronai.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.”

Omer Keilaf, CEO of Innoviz Technologies (www.innoviz.tech), added: “Innoviz is proud to bring our rugged, automotive-grade lidar technology to one of the world’s fastest growing infrastructure markets. 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, say the partners, is the future of sensing in India with real-time intelligence built for deployment at scale.