{'fraction_non_alphanumeric': 0.00920951650038373, 'fraction_numerical': 0.0023023791250959325, 'mean_word_length': 5.20952380952381, 'pattern_counts': {'":': 0, '<': 0, '<?xml version=': 0, '>': 0, 'https://': 0, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
Intelligent robot-based dynamic weighing system

A robot based intelligent system is proposed and used to improve the accuracy and throughput rate of a dynamic checkweigher. Classical filtering techniques as well as some other signal processing techniques provide certain improvements in the accuracy and the effect of high frequency noise in a conventional checkweigher. A large amount of inaccuracy from system low frequency components still remains. The developed system includes a fuzzy controller for the weighing cell which is an essential pat of many static and dynamic systems used for weighing. The system also includes a robot arm for package handling through the weighing process to reduce the effect of the low frequency noise (0 - 10 HZ) associated with the conveyor belt systems in the conventional checkweighers. A motion planning for the robot arm is investigated to satisfy the safety requirements for the packages and robot arm and to enhance the throughput rate of the overall system. The use of such intelligent systems for weighing and transport overcome the nonlinearity problems associated with the system and reduces greatly the noise effect in conventional checkweighers. The experimental results are introduced an analyzed to investigate the efficiency of the developed system.