26-year-old man arrested for stabbing mother-in-law in Belagavi
Belagavi: A 26-year-old man has been arrested for allegedly stabbing his mother-in-law following an argument over a video call in Aladakatti village in Savadatti taluk of Belagavi district, according to Asianet News.
The accused, identified as Aravind Gawali, allegedly attacked his mother-in-law, Mahadevi Karigar (45), after a dispute related to frequent video calls. She is currently undergoing treatment in the ICU at Belagavi Institute of Medical Sciences.
Police said Mahadevi had arranged her daughter’s marriage to Aravind, a resident of Mantur village in Hubballi taluk, about one-and-a-half years ago. The couple recently had a child, and the woman was staying at her parental home for post-delivery care. There are allegations that Aravind had been harassing his wife.
Mahadevi got annoyed with her son-in-law’s constant video calls. She told him, “I can’t just sit around on the mobile all day, leaving my work aside. Call only once a day.” Aravind then allegedly abused her with foul language. In response, Mahadevi warned him, saying, “If you come to our village, I won’t spare you.”
Following the argument, Aravind allegedly came to Aladakatti village, stabbed his mother-in-law, and fled the scene.
Police said the accused later posted a WhatsApp status: “Today jail, tomorrow bail. I won’t spare you.”
He was later arrested. A case has been registered at Murugod Police Station, and further investigation is underway.
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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.
