Abstract: A face recognition system includes a first camera, a second camera, and a recognition engine. The first camera is configured to capture a first facial image of a first view. The second camera is configured to capture a second facial image of a second view. The recognition engine includes a first recognition module, a second recognition module, and a decision module. The first recognition module is configured to generate a first weighting factor based on the first view. The second recognition module is configured to generate a second weighting factor based on the second view. The decision module is configured to generate a comparison model based on the first facial image, the second facial image, the first weighting factor, and the second weighting factor. The face recognition system uses the plurality of cameras to capture the facial images of different views to achieve highly accurate recognition.

Abstract: The present disclosure provides a data crawling and processing method for a data crawling and processing device. The data crawling and processing device comprise a crawling interface, a processing module, an identification module and a grouped data section. The data crawling and processing method comprises below steps. The data crawling and processing device connects to a data source through the crawling interface. The data source comprises an original data and a featured content. The crawling interface receives the featured content. The crawling interface produces a tag corresponding to the featured content. The crawling interface crawls the original data from the data source, and adds the tag to the original data to produces a tagged data. The identification module determines whether the tagged data is acceptable. If the tagged data is acceptable, the processing module groups the tagged data to form a grouped data.

Abstract: A smart logistic locker comprises a plurality of compartments and a control station. The control station comprises a processor, a memory, a first sensing module, a second sensing module, an input/out interface, a communication module and a maintenance door. A smart logistic locker management method comprises below steps. The first sensing module obtains a first biological feature. The processor determines whether the first biological feature is authenticated. If the first biological feature is authenticated, the second sensing module obtains a second biological feature. The processor determines whether the second biological feature is authenticated. If the second biological feature is authenticated, the processor opens the maintenance door.