Police crack whip against inciteful social media posts
Mangaluru (Karnataka) (PTI): Police have registered a case on their own after discovering a series of alarming and provocative posts on Instagram, allegedly aimed at inciting communal hatred, glorifying violence and threatening revenge attacks in the city.
According to the FIR, filed by Police Sub-inspector Anita Nikkam of the Kankanady Town Police Station, the officer who was monitoring social media platforms on December 2 as per the instructions of senior officials, came across multiple Instagram accounts sharing inflammatory content.
The FIR states that posts and stories on 16 Instagram accounts reportedly carried images of unknown individuals brandishing weapons, including pistols, revolvers, swords and machetes, some with their faces masked.
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Police said the posts were crafted to instil fear, provoke violence, create hostility between communities and disrupt public order in Mangaluru.
The FIR states that the content appeared to be part of a larger attempt to incite hatred between religions and communities, encourage unlawful activities, and disturb peace and communal harmony.
The complaint notes that Mangaluru is a 'sensitive region', and that the posts indicated a coordinated attempt to create fear, trigger riots, conspiracies and criminal acts through social media.
Police have initiated action under relevant sections of law and are tracing the individuals behind the Instagram accounts.
Further investigation is under way.
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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.
