For the monitoring of instrument boards/panels in semiconductor factories, most of the instrument boards/panels of machines do not able to transmit data to SCADA, so the companies have to rely on manual monitoring, and those instrument boards/panels are difficult to respond immediately.
However, we can obtain the data immediately if we use the instrument board recognition system. By setting up the device of the instrument board recognition system in front of the instrument board/panel that needs to be monitored, we can use the device to capture the screen regularly for identification, uploading the data to the Modbus server, and import the data into the SCADA system for real-time response processing. Thanks to the instrument board/panel recognition system, the factory internal process management is smoother.
Architecture diagram of the meter intelligent identification system
In this picture, the image recognition system will first transmit the recognition results to the Modbus server and connect it with the company’s internal SCADA. Second, The cloud database can also be used to collect data for the clients’ needs. Third, this system establishes a back-end system to show the real-time data and provide graphs. Last but not least, the system can also arrange scheduling, and set the warning notification, etc.
Intelligent Image Recognition System
Items
Contents
LAN
Wired (RJ45) and wireless (Wifi 2.4G, support wireless hotspot AP mode)
Sensing element
8MP SONY 1/4" CMOS
Camera lens
Horizontal viewing angle 60° Vertical viewing angle 48° Manual focus distance 15 cm to infinity
Communication protocol
MQTT (including proxy server function), open database reading, WebAPI
Dimensions (W x D x H)
63x114x31 mm
Fixing hole
Standard tripod compatible with 1/4" screw holes
Power Input
DC 5V/2.5A
Operating temperature
10 ~ 60 ℃
Applications
Pointer type instrument board/panel recognition
Digital type instrument board/panel recognition
Application Features
Current Problems and Advantages of This System
Issues and Challenges in the traditional way
Human error
Time-consuming and labor-intensive
Poor environment
Unable to detect exceptions timely
Lack of database
Benefits of Using Intelligent Image Recognition System
Easily established
Immediate notification of abnormal conditions
Data analysis
Stability monitoring
Supports simultaneous identification of multiple headers