SC upholds setting aside of 2017 election of Abdullah Azam Khan from UP Assembly
New Delhi (PTI): The Supreme Court on Monday rejected a plea challenging an order of the Allahabad High Court setting aside the election of Mohammad Abdullah Azam Khan, son of Samajwadi Party leader Azam Khan, to the Uttar Pradesh Assembly in 2017.
We have dismissed (the plea), said a bench of Justices Ajay Rastogi and B V Nagarathna while pronouncing the verdict on Abdullah Azam's plea against the high court order.
The top court had reserved order on the issue on September 20.
In December 2019, the Allahabad High Court had ruled that Abdullah Azam was not qualified to contest the election as he was below 25 years of age when he filed his nomination papers as the SP candidate from Suar constituency in 2017.
The case relates to the existence of two birth certificates of Abdullah Azam, who allegedly gave a wrong date of birth while filing his nomination papers for the 2017 poll.
Rampur BJP leader Akash Saxena had lodged an FIR at Ganj police station on January 3, 2019 alleging fraud in securing two birth certificates with different dates. In April, police had filed the charge sheet in the case.
Azam Khan and his wife were sent to jail by a Rampur court in Uttar Pradesh for their alleged role in securing a fake birth certificate for Abdullah Azam on the basis of which he had contested the election.
According to the charge sheet, in one birth certificate, issued by the Rampur municipality, Abdullah Azam's date of birth was mentioned as January 1, 1993. The other certificate said he was born in Lucknow on September 30, 1990.
Abdullah Azam had won from Suar assembly in 2017, but was unseated by the high court for being underage. He was again elected from the constituency in the assembly polls held in 2022.
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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.
