SOURCE: IDRW.ORG
The Indian Air Force (IAF) has reached out to private sector companies to develop an advanced Automatic Take-Off and Landing Recording System, aiming to modernize a critical aspect of its operations at air bases across the country. Currently, the IAF manually records all aircraft take-offs and landings using handheld camcorders, a practice essential for post-accident/incident investigations and aircrew training debriefs.
However, this outdated method suffers from sub-optimal coverage, poor resolution, and a complete inability to function at night. By seeking an automated, high-tech solution, the IAF intends to enhance safety, training, and operational oversight—ushering in a leap forward with the help of India’s private industry under the Atmanirbhar Bharat framework.
Recording take-offs and landings is a cornerstone of IAF operations, preserving vital evidence for analyzing incidents. This manual system also fails to monitor ancillary risks, such as vehicular, human, or animal intrusions onto operational surfaces (runways, taxiways), which could trigger accidents. With over 50 air bases and increasing sortie rates, the IAF recognizes the need for a robust, automated alternative.
The proposed Automatic Take-Off and Landing Recording System aims to revolutionize this process with a comprehensive, all-weather solution. Key features include High-definition cameras with infrared and thermal imaging to capture every take-off and landing, regardless of light conditions. Multiple sensors—optical, thermal, and possibly radar—to provide 360-degree visibility across runways and taxiways. Real-time detection of vehicles, personnel, or wildlife on operational areas, enhancing safety and situational awareness. Hands-free operation, eliminating human error and freeing personnel for other duties.
The system will comprise a network of cameras and sensors strategically placed at IAF bases, integrated with data storage and playback software. This setup will not only record aircraft movements but also log timestamps, weather conditions, and surface activity—creating a rich dataset for investigations and training.
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