Alleged intoxicated passenger misbehaves with IndiGo crew on flight, arrested at Bengaluru airport
Bengaluru, Nov 20: A passenger on board an IndiGo flight from Jaipur to Bengaluru who was allegedly intoxicated and misbehaved with crew members despite multiple warnings was arrested, police said on Monday.
After landing on November 17, the 32-year-old passenger was handed over to the police at the Kempegowda International Airport here, a senior police officer.
'Based on the complaint received from IndiGo, we registered a case under relevant sections of the Indian Penal Code and arrested the passenger. He was later released on bail,' he added.
IndiGo said in a statement that the passenger on flight 6E 556 was intoxicated and misbehaved with the crew despite multiple warnings.
'The passenger was handed over to the local law enforcement authorities on arrival for further legal action. We regret the inconvenience caused to the other passengers,' the airline 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.
