C-DOT and Trois Infotech Sign Agreement to Develop “Face Recognition Using Drone” Under TTDF Scheme

The Centre for Development of Telematics (C-DOT), the premier telecom R&D centre under the Department of Telecommunications (DoT), Government of India, has signed an agreement with Trois Infotech for its “Face Recognition Using Drone” technology.

The agreement has been signed under the Telecom Technology Development Fund (TTDF) program of (Universal Service Obligation Fund) USOF, (Department of Telecommunications), with C-DOT as the Implementing Agency, Government of India. This collaboration marks a significant step forward in the development of state-of-the-art indigenous telecom technologies and solutions, aligning with the vision of “Atmanirbhar Bharat” through C-DOT’s Collaborative Programs (CCP). The scheme is designed to fund Indian startups, academia, and R&D institutions, acting as a crucial enabler for the design, development, and commercialization of telecommunication products and solutions. It aims to facilitate affordable broadband and mobile services, playing a vital role in bridging the digital divide across India.

This project focuses on developing advanced drone-based solutions equipped with industrial-grade, long-range cameras optimized for facial recognition, high-accuracy edge processing, and seamless real-time data transmission. The drones will leverage cutting-edge computer vision and AI technologies to address challenges such as camera and target movement, low-light conditions, and power constraints. Key innovations include custom imaging systems with high-zoom lenses, Face Adaptive Exposure Control Technology, and proprietary communication protocols. The primary objectives are the development of long-range imaging technology (500m+) with advance night vision, high-accuracy edge processing for real-time facial recognition, and a seamless communication system integrating 4G LTE, 5G, and long-range WiFi (IEEE 802.11ah) technology for uninterrupted communication with ground stations. Technological breakthroughs include an advanced imaging system with high-sensitivity CMOS sensors, IR laser illumination, Face Adaptive Exposure Control Technology for optimal exposure, and low-power AI hardware for real-time processing. Designed for aerial surveillance, these drones will revolutionize applications across traffic management, emergency response, defence, environmental monitoring, and more, setting new standards in drone technology for real-time intelligence and decision-making.

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