TM Image Manager
Build Quality Traceability for Your Product
After an enterprise sells their product to customers, they will often need to deal with customers’ feedback or complaints.
Therefore, a comprehensive quality tracking system is essential for businesses to establish.
TM Image Manager is a software tool that is highly compatible with TM AI Cobot’s vision function.
It can help you effectively manage the quality inspection records of each product. The inspector can monitor the inspection progress in real-time,
and the results will automatically be recorded as image data. These data can be reviewed anytime in order to increase inspection accuracy.
Furthermore, a quality report can also be built for each product and the potential costs needed for after-sales service activities can be reduced.
Main Features
- Rapid Deployment: It can be deployed within 1 week after the hardware is installed
- AOI Result/Image Retrieval: Historical data can be queried with different filters
- Manual Review Function: Show ground-truth and current image for manual double confirmation
- Data Management: Images and AOI results can be stored in a database and retrieved easily
How TM Image Manager Works?
Image Storage and Retrieval
- Inspection images can be saved
- Images can be retrieved and exported through different filter conditions
Real-time Monitoring
- Monitor the inspection progress and status of each workstation
- Can customize the layout of the inspection area
Online Inspection
- AOI results can be manually reviewed and corrected online
- Can simultaneously see both the image of the standard product and the product images that were detected with defects
Specification
Software requirements
TMflow Software version
Ver. 2.14 or above
Hardware requirements
Operating system
Ubuntu 20.04
CPU
Intel i7 or above
RAM
16GB or above
Storage
SSD 2TB or above
Communication interface
Ethernet
Language support
EN, TW, CH
Remark
Support up to 10 TM AI Cobots and AI+ AOI Edges for continuous simultaneous transmission of images. (1)
(1) When connecting above 10 devices, the users need to evaluate the potential issues caused by system overload.