Metro train ridership has grown significantly over the past decades with exponential growth expected in the near future as commuters increased. Crowding at metro stations are experienced frequently, resulting in safety concerns, decreased comfort levels and increased in wait and travel time. Despite numerous efforts in implementing an effective crowd management program, the program still falls short in containing the formation of crowds causing long queue lines, affecting commuter’s wait time at the platform and delay in boarding the train. In this session, we show how you can create and deploy a Crowd Density Estimation ML Solution leveraging AWS services like Amazon Rekognition (deep learning-based image and video analysis service), AWS Lambda, Amazon API Gateway, Amazon SNS to help avoid crowding at the stations and platforms, and provide a better daily commuting experience with trains and coaches.
AWS services: Amazon Rekognition (deep learning-based image and video analysis service), AWS Lambda, Amazon API Gateway, Amazon SNS
Speaker: Kayalvizhi Kandasamy, Senior Solutions Architect, AISPL
Download slides and demo