|
PraeVISION Development of preemptive methods towards increased work safety at ground conveyors through fusion and analysis of 2D and 3D image sensor data Each accident at work is a personal fate and at the same time an economic loss for the employer and for society. The application range of powered industrial vehicles within intralogistics offers a high risk potential. Driver assistance systems for industrial vehicles such as forklifts can be used here in order to increase the attention of potentially affected employees at the crucial moment and warn the people involved. The project aims at both researching general methods to improve work safety at motor-powered ground conveyors and specifically applying 2D/3D image processing methods in a demonstrator system to prove this method effective in increasing work safety in such an environment. The developed demonstrator can serve as a basis to engineer a system for ground conveyors to notify the driver of potential hazards, which then could be integrated and retrofitted into ground conveyors independent of the manufacturer. Contact persons: A. Börold (Project manager) Funded by: DGUV Duration: 01.03.2015 - 31.03.2018 See project's publications List all projects |