Leopard kills 3 in Rajasthan's Udaipur; Army roped in for search operation
Udaipur (Rajasthan), Sep 21: The search for a leopard that has allegedly killed three people in Gogunda in Rajasthan's Udaipur district recently has intensified with an Army team being roped in for the purpose.
However, the animal is yet to be traced.
A 16-year-old girl was killed by the leopard on Wednesday, a man aged 50 years was mauled to death by the big cat on Thursday and a 40-year-old woman was killed supposedly by the same animal on Friday.
The incidents occurred at different locations in Gogunda, prompting the forest authorities to place five cages in order to capture the leopard that is believed to have taken shelter in the hilly area nearby.
The presence of the leopard has caused fear among villagers.
A rescue team from the forest department, along with villagers, has reached the hills to trace the animal.
Station House Officer (SHO) of the Gogunda police station Shaitan Singh said a team from the Indian Army has also been called to assist in the search operation, using drone cameras to monitor the entire area.
Teams from Rajsamand, Udaipur and Jodhpur are actively engaged in the search operation.
Divisional Forest Officer (DFO) Ajay Chittora, Sub-Divisional Magistrate (SDM) Naresh Soni and others were also present during the search operation.
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Bengaluru airport introduces AI-based system to enhance safety at vehicle-aircraft intersections
Bengaluru: Bangalore International Airport Limited (BIAL) has introduced an integrated smart airside safety system at Kempegowda International Airport to improve operational safety at key intersection zones.
According to The Hindu, the system has been designed to enhance safety at Cross Service Roads (CSRs), where aircraft and ground vehicle movements intersect.
According to BIAL, the system integrates AI-based computer vision, automation, and centralised monitoring to manage right-of-way movements and reduce the risk of human error.
“CRSs are among the most sensitive areas within airport operations, requiring precise and seamless coordination between aircraft and ground vehicles. Traditionally, right of way protection at these intersections relied on manual or semi-manual inset light activation, creating dependencies on human intervention, increasing the risk of delays and limiting operational visibility,” TH quoted BIAL as saying.
The new system uses real-time detection of vehicle movement, risk assessment, and automated signalling. AI-enabled cameras identify potential conflicts and trigger automated inset light signals to ensure aircraft priority. Normal operations resume once the area is confirmed clear.
“Based on these detections, the system triggers automated inset light activation to protect aircraft right‑of‑way and restores normal signalling once the intersection is confirmed clear. A centralised monitoring and analytics platform digitally logs all events, strengthening governance, compliance, and operational control,” BIAL said.
By embedding technology into operations, the system creates a data-driven separation layer between aircraft and ground vehicles, significantly reducing human error, especially during night and low-visibility conditions.
“Precision-led signal activation improves traffic flow, minimises unnecessary stoppage and enhances turnaround efficiency. It also establishes a scalable foundation for predictive safety analytics, enabling trend analysis, peak-hour optimisation, compliance mapping and risk forecasting to support continuous improvement and stronger airside governance,” BIAL said.
