How is the Gujarat government Utilizing CCTV and AI to Tackle Stray Cattle?
Synopsis
Key Takeaways
- Integration of AI and CCTV for real-time identification of stray cattle
- Reduction in manpower and time spent on cattle identification
- Enhancement of public safety and traffic management
- Unique biometric identification through nose patterns
- Establishment of a data-driven monitoring system
Gandhinagar, Jan 19 (NationPress) In a bid to foster smarter and more efficient urban environments, the Gujarat government is placing a strong emphasis on the implementation of modern technologies and Artificial Intelligence (AI) in its governance framework.
Under the guidance of Chief Minister Bhupendra Patel, an AI Centre of Excellence has been set up in Gandhinagar, focusing on integrating cutting-edge technologies into public administration to improve services for citizens.
In line with this vision, a pioneering pilot project is being developed for the Ahmedabad Municipal Corporation (AMC) aimed at tackling the persistent issue of stray cattle in urban locales.
This initiative seeks to expedite the identification process of stray cows and their owners, making it quicker, more precise, and less resource-intensive.
Stray cattle on the streets of Ahmedabad often cause traffic disruptions and accidents.
Currently, AMC teams utilize CCTV footage to capture images of these animals, which are then manually identified using microchips and RFID tags.
However, this method is laborious and demands significant manpower.
To optimize this approach and reduce both time and effort, the integration of AI technology is now being actively pursued.
The AI Centre of Excellence located at GIFT City in Gandhinagar has commissioned an agency to create a specialized AI model.
This agency is working on solutions rooted in deep learning and is in the final stages of developing a model that will be presented to the operational committee soon.
The envisioned system will merge CCTV camera feeds with the AI model to provide real-time identification of stray cows and disclose their owners' information.
This AI model will employ computer vision and deep learning techniques.
It will analyze the cow's face, paying particular attention to the nose pattern, which serves as a unique biometric identifier—akin to a human fingerprint.
Each cow's nose design is unique.
Furthermore, the system will evaluate other features such as the eyes, facial structure, and any visible marks or scars.
Through these parameters, the AI will be capable of identifying a specific cow amidst a crowd and matching it with the existing database to retrieve owner details.
Currently, approximately 1.1 lakh cows in Ahmedabad have been equipped with RFID tags and microchips, with their information managed by the municipal corporation.
CCTV cameras at around 130 junctions throughout the city capture images of stray cattle.
If this AI-driven solution proves successful, it is anticipated to substantially improve traffic management and alleviate other issues stemming from stray cows within AMC limits.
This initiative aims to avert accidents involving stray cattle, enhance public safety, and establish a data-driven monitoring system—representing a significant stride towards AI-enabled smart governance in Gujarat.