Targeted algorithm optimization to enhance recognizable types of recyclables Based on self-learning AI intelligent recognition technology and hyperspectral recognition technology, targeted reinforcement training is carried out for common stacking, mixed components, and severe pollution in construction and decoration waste, enhancing the ability to identify large recyclable materials with an accuracy rate of over 95%, significantly improving the resource utilization level of construction and decoration waste. Targeted mechanical design improves the sorting efficiency of large garbage Meixing Intelligent's high-speed A multi-purpose heavy-duty sorting robot (MIGHTYSORT) can stably and efficiently sort up to 20kg of materials within a 2.7-meter range. The high-precision end-to-end execution system equipped with unique angle generalization recognition technology can easily handle the problems of large size differences and difficult picking of construction and decoration waste materials with 100% accuracy. Scientific production line planning flexibly meets the needs of end users Meixing equipment is closely compatible with front-end crushing, screening, dust removal and other process equipment to ensure the final sorting effect. Based on decades of experience in the environmental protection industry, Jiuzhuo has integrated production line design and implementation capabilities, which can meet the needs of different owners and implement customized transformations, optimize sorting processes, and balance the efficiency and effectiveness of sorting