The AI automatic recognition and quality judgment system is a system that automatically inspects and examines parts and precision equipment that were previously checked visually.
[Features] 1. Adoption of CDEX's proprietary design for the Deep Learning network structure. 2. Only good products are used for training, enabling the detection of unknown defects. 3. High-precision judgment. Supports resolutions up to 512×512 pixels. 4. A seamless process from image registration to model creation and quality judgment through GUI operation. Our proposal to minimize training costs: - Utilization of original modules based on OCSVM - Utilization of original modules based on αGAN - Utilization of original modules based on DAGMM Additional lineup and preprocessing modules are also in preparation. - Language: Python
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[Features] 1. Adopts a Deep Learning network configuration uniquely designed by CDEX. 2. Uses only good products for training, enabling the detection of unknown defects. 3. High-precision judgment. Supports resolutions up to 512×512 pixels. 4. A seamless process from image registration to model creation and quality judgment through GUI operation. Our proposal to minimize training costs: - Utilization of original modules based on OCSVM. - Utilization of original modules based on αGAN. - Utilization of original modules based on DAGMM. Modules for other lineups and preprocessing processes are also in preparation. - Language: Python.
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With a wealth of experience and achievements, we respond to our customers' needs from the development and design of RFID products, FPGA/LSI, and communication systems to prototyping and commercialization.