Products & highlights
New Quality Productivity AIoT Intelligent Terminal
The New Quality Productivity AIoT Intelligent Terminal is a workstation digital scheduling and agile kanban based on the LINUX operating system. It can display ToDoList scheduling instructions and dynamic ESOP electronic work instructions, while also achieving remote real-time monitoring, data recording, and Andon alarm functions for process workstations. The terminal has WiFi, Bluetooth, Ethernet, and industrial fieldbus interfaces to connect various devices. At the same time, the terminal can also access multiple high-definition cameras. Through video capture from multiple cameras in different directions, combined with job instructions and job manuals, AI intelligent algorithms are used to record and analyze the behavior, actions, production efficiency, and other aspects of relevant personnel; The video output of the terminal can be directly connected to various sizes of LCD displays; The terminal can connect to input devices such as fieldbus switches and buttons, and receive feedback from on-site operators. The system can provide various scheduling dashboards and monitoring record videos to management personnel, combined with relevant AI intelligent agents for data analysis to improve management efficiency. In addition, the terminal software supports graphical logic modeling and visual programming tool NODE-RED, which can quickly build various management and control logics as well as intelligent networked applications through simple drag and drop operations, significantly improving the intelligence level of the production line, enhancing production efficiency, reducing human errors, and providing real-time historical data support for job process management. This workstation scheduling dashboard and workstation performance monitoring record and analysis improvement management system can guide production line operators based on the scheduling management of the intelligent center backend, while recording the actions, efficiency, and other aspects of the operators through video. After integrating other relevant data, the records can be intelligently analyzed, and the performance of the operators can be evaluated and scored for management, thereby continuously improving the professional ethics of practitioners.