At the India AI Impact Summit 2026, held at Bharat Mandapam, one message stood out clearly:
For Sparsh CCTV, these conversations reflected what we are building every day – AI embedded directly into CCTV cameras, edge devices, and intelligent command architectures deployed across India’s most critical environments.
From Surveillance to Intelligence
Traditional CCTV systems were built to capture and store video.
Today, AI-powered surveillance systems are designed to interpret and act.
With advanced AI integration, surveillance now enables:
● Fire & Smoke Detection
● Intrusion & Line Crossing Alerts
● Crowd Formation & Estimation
● PPE & Helmet Compliance Detection
● ANPR (Automatic Number Plate Recognition)
● Fall Detection & Distress Gesture Recognition
● Accident & Pothole Detection (ITMS)
With a customized suite of analytics modules built in-house.
Edge AI: Intelligence Inside the Camera
One of the most significant shifts discussed at the summit was AI at scale – not just in centralized systems, but at the edge.
As we move to Edge AI boxes, integrating advanced imaging with on camera. Instead of transmitting raw footage for analysis, inference happens at the camera edge.
This enables:
● Real-time detection with sub-second latency
● Reduced bandwidth dependency
● Enhanced cybersecurity control
● Reliable performance in low-connectivity environments
Edge AI ensures decisions are made where the camera is installed.
Proven Across India’s Landmark Projects
AI-driven surveillance is operational across some of India’s most demanding projects, including:
● Chenab Bridge
● USBRL Railway Tunnels across the Himalayas
● Ayodhya Dham Railway Station
● Mumbai Coastal Road Project
● Satnavari – India`s first smart village
● Multiple Smart City deployments across India
These environments demand reliability, cybersecurity, and intelligent monitoring at scale, reinforcing that AI-powered CCTV is now foundational to modern infrastructure.
AI and Inclusion: Building Technology for Everyone
On Day 2, Sparsh Sehgal participated in a panel discussion hosted by the Federation of Indian Chambers of Commerce & Industry on:
“AI for HER: Catalyst Women Leaders Driving Responsible and Inclusive AI.”
She shared the stage with distinguished global leaders, including Roma Datta Chobey (Google), Ivana Bartoletti (Wipro), Sarah Kemp (Intel Corporation), Sandhya Devi Varanasi (Schneider Electric), Poonam Sharma (FICCI FLO)
In her remarks, Sparsh Sehgal highlighted a reality often overlooked in the security and surveillance industry:
“AI reflects the teams building it. When diverse voices are part of leadership and engineering, technology becomes more relevant and more practical.”
She addressed the skewed representation within the industry – calling it both a challenge and an opportunity. In 2026, while conversations around inclusion continue, true impact lies in structural change where more women and young people get the right opportunities to join the industry.
At Sparsh CCTV, inclusion is not symbolic. It is structural:
● 60% of the AI team is female
● 45% of the manufacturing workforce is women
● The product team has been led by women for the last 10 years
When security is built for everyone and use cases are defined and understood for everyone, inclusion does not need to be demanded. It becomes habitual.
Her message was simple yet powerful: AI should not be segmented into AI for Her or AI for Him.
AI must work for everyone.
AI in CCTV: Built in Bharat, Ready for the World
As shared by Sanjeev Sehgal:
“AI brings precision at scale. When that precision is built in Bharat, it becomes a global strength.”
“Made in Bharat” now represents ownership of the full ecosystem – design, R&D, validation, firmware security, and manufacturing working together.
This integration of AI into CCTV technology defines the Future of Surveillance in India.____________________________
The Future Belongs To
● AI-powered cameras with embedded edge intelligence
● Centralized command platforms with multi-sensor fusion
● Secure, scalable architectures built for real-world deployment
● Responsible AI that augments human decision-making
At Sparsh CCTV, we are engineering AI-driven surveillance ecosystems.
