Building a Camera-based Smart Sensing System for Digitalized On-demand Aircraft Cabin Readiness Verification

Luis Unzueta, Sandra Garcia, Jorge García, Valentin Corbin, Nerea Aranjuelo, Unai Elordi, Oihana Otaegui, Maxime Danielli

Abstract: Currently, aircraft cabin operations such as the verification of taxi, take-off, and landing (TTL) cabin readiness are done manually. This results in an increased workload for the crew, operational inefficiencies, and a non-negligible risk of human errors in handling safety-related procedures. For TTL, specific cabin readiness requirements apply to the passenger, to the position of seat components and cabin luggage. The usage of cameras and vision-based object-recognition algorithms may offer a promising solution for specific functionalities such as cabin luggage detection. However, building a suitable camera-based smart sensing system for this purpose brings many challenges as it needs to be low weight, with competitive cost and robust recognition capabilities on individual seat level, complying with stringent constraints related to airworthiness certification. This position paper analyzes and discusses the main technological factors that system designers should consider for buildin