Clash between two groups in Nuh after Eid prayers, 5 injured
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Gurugram (PTI): A clash between two groups from the same community after Eid prayers in a village in Nuh left more than five injured on Monday.
According to police, the incident, which occurred at 9 am, was a fallout of an old rivalry between groups led by individuals Rashid and Sajid in Tirwada village.
After getting information, teams from several police stations reached the village and restored order. A police team has been deployed in the village to ensure peace, officials said.
The violence started after members of one group, who were going home after offering Namaz at an Idgah, had an altercation with some people from the other side. The two groups then attacked each other with sticks.
After police reached the spot, the violence stopped and the injured were rushed to a hospital.
The police said there is an old dispute between Rashid and Sajid groups in which cases had been filed against both parties earlier.
"In the old rivalry, there was a clash between the groups of Rashid and Sajid in village Tirwada in which Meeru and Hafiz from Rashid's party and Khurshid, Ashmin and Noor Mohammad from Sajid's party got injured and are being treated in hospital," said Krishan Kumar, the spokesperson of Nuh police.
"Some other people from both groups also suffered minor injuries. Our police teams are on the spot and the situation is under control. A probe is underway and an FIR will be registered soon," the spokesperson said.
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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.
