MUMBAI, India, Sept. 28 -- Intellectual Property India has published a patent application (202611093097 A) filed by Roorkee Institute Of Tehnology; Karan Kumar; Harsh Raj; Ashutosh Bharti; Dr. Pankaj Singh Tomar; Ms. Puja Sharma; Dr. Saurabh Raj; Mr. Ashok Kumar; and Mr. Munendra Chauhan on July 31, 2026, for Drishti — Wireless Smart Camera Aiming System Using Iot.
Inventors include Roorkee Institute Of Tehnology; Karan Kumar; Harsh Raj; Ashutosh Bharti; Dr. Pankaj Singh Tomar; Ms. Puja Sharma; Dr. Saurabh Raj; Mr. Ashok Kumar; and Mr. Munendra Chauhan.
The application for the patent was published on September 25, 2026, under issue no. 39/2026.
Abstract: DRISHTI (Dual-mode Remote Intelligent System for Hands-on Tracking and Imaging) is a wireless smart camera aiming system that operates in two switchable modes: a Manual Mode and an Autonomous Mode. The system comprises three interconnected subsystems. The User Input Processing Core is a handheld wireless- enabled microcontroller unit that loads interchangeable firmware profiles to acquire positional commands from an analog displacement sensor or an inertial measurement unit, applies deadzone windowing and exponential weighted smoothing to the raw signals, and transmits the conditioned coordinate payloads to the Actuator Drive Node via low-latency wireless protocols. The Actuator Drive Node hosts an ad-hoc local wireless access point, receives coordinate payloads on a fixed network port, and translates them into drive signals for two orthogonally mounted electromechanical actuators that physically pan and tilt the camera mount. The Centralized Computational Vision Core is a web-server application executing on a network-connected host computing device that captures video in real time, processes frames through a computer vision pipeline utilizing feature extraction and biometric classification algorithms, and classifies detected subjects against a hierarchical database containing whitelist and blacklist permission tiers. When a target’s centroid deviates from the camera’s optical centre, the Vision Core computes an error vector and transmits it as a coordinate correction to the Actuator Drive Node, enabling closed-loop autonomous tracking. A web-accessible dashboard streams the annotated live feed and event log to authorized clients on the local network. The invention provides a modular, low-cost, field-configurable alternative to both fully manual pan-tilt controllers and expensive proprietary autonomous tracking systems, with applications in perimeter security, remote monitoring, and intelligent robotics.
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