Human-artificial intelligence collaborative quality control system for use in manufacturing and production processes, has predictive maintenance and self-healing mechanism configured to predict and prevent equipment failures and automatically correct minor faults to reduce downtime
	KUNDU M; NAHATA C; DAS J; GOSWAMI S; SAHOO S; BISWAS S
	2025-04-12
专利权人	JIS COLLEGE ENG (JISC-Non-standard)
申请日期	2025-04-12
专利号	IN202531035773-A
成果简介	NOVELTY - The system has an artificial intelligence (AI)-based real-time monitoring unit detecting defects in a production process by utilizing AI algorithms, computer vision, and sensor data. A dynamic optimization engine adjusts production parameters based on real time analytics provided by the monitoring unit. A human-machine collaboration interface allows human operators to interact with an AI system and provides contextual decision-making when required. A cobot integration module allows collaborative robots i.e. cobots, to assist in corrective actions and quality assurance tasks. A predictive maintenance and self-healing mechanism predicts and prevents equipment failures and automatically corrects minor faults to reduce downtime. USE - Human-AI collaborative quality control system for use in manufacturing and production processes. ADVANTAGE - The system provides a robust solution to optimize production workflows, reduce downtime, and ensure high quality output in manufacturing environments by incorporating advanced AI algorithms, computer vision, cobots, and self-healing mechanisms. The system works in conjunction with human inspectors to improve accuracy, efficiency, and defect detection. DETAILED DESCRIPTION - An INDEPENDENT CLAIM is also included for a method for operating a human-AI collaborative quality control system.
IPC 分类号	B25J-009/16 ; G05B-019/418 ; G06N-020/00 ; G06Q-010/0639 ; G06Q-010/20
国家	印度
专业领域	信息技术
语种	英语
成果类型	专利
文献类型	科技成果
条目标识符	http://119.78.100.226:8889/handle/3KE4DYBR/13177
专题	中国科学院新疆生态与地理研究所
作者单位	JIS COLLEGE ENG (JISC-Non-standard)
推荐引用方式 GB/T 7714	KUNDU M,NAHATA C,DAS J,et al. Human-artificial intelligence collaborative quality control system for use in manufacturing and production processes, has predictive maintenance and self-healing mechanism configured to predict and prevent equipment failures and automatically correct minor faults to reduce downtime. IN202531035773-A[P]. 2025.

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