ARM based load and hook measuring and tracking for precision hoist of tower crane

It is important to measure the activities of the hook and the load for precision hoisting and safe operation of a tower crane. Visual monitoring and image recognition are the optimum methods for crane hook activity measuring and precision hoisting. Advanced RISC Machines (ARM) is a promising controller for field measuring and controlling of tower crane, but high real time performance and low computation requirements are required for measuring system implemented using ARM. An ARM-based load and hook measuring and tracking system for tower crane is designed. Selecting lifting rope as the target object, an high-performance Improved Progressive Probabilistic Hough Transform (IPPHT) algorithm is proposed for hook activity measuring and tracking. Compared to Progressive Probabilistic Hough Transform (PPHT) more accurate detection is obtained, and the same time the computation time can be reduced to 20%. It is tested the IPPHT is fitting for ARM based measuring system.