Abstract: Systems and methods for evaluating a set of bounding boxes in a blended image are described. A system can include an integrated circuit configured to obtain expected bounding box data. The expected bounding box data can be based on coordinates data of an image. The integrated circuit can determine target coordinates based on the expected bounding box data. The integrated circuit can receive a blended image including a set of objects and a set of bounding boxes. The integrated circuit can extract pixel values located at the target coordinates in the blended image. The integrated circuit can identify an error relating to the set of bounding boxes based on the extracted pixel values and the expected bounding box data.

Abstract: An interface circuit includes an input circuit. The input circuit includes a first input pin, a second input pin and a third input pin. The input circuit further includes a first operational amplifier including a first output pin, a first non-inverting input pin electrically coupled to the first input pin via a first impedance and a first switch, and a first inverting input pin coupled to the first output pin. The input circuit also includes a second operational amplifier including a second output pin, a second non-inverting input electrically coupled to the second input pin via a second impedance and a second inverting input pin electrically coupled to the third input pin via a third impedance and a second switch. The first input pin and the second input pin are electrically coupled via a third switch and a fourth impedance.

Abstract: A method and a system for thermal infrared facial recognition are provided. The method includes: determining a thermal infrared facial image to be recognized; inputting the thermal infrared facial image to be recognized into a trained three-sense component extractor to position eyes, a nose, and a mouth of a face in the image, and to perform regional positioning of a left eye, a right eye, the nose, and the mouth, so as to constitute a corresponding key region group; performing affine transformation on the thermal infrared facial image to be recognized using a difference between a key region group of a standard face and the key region group of the face to be recognized; inputting a thermal infrared image after face alignment calibration into a trained facial feature extraction to extract corresponding facial features; and inputting the extracted facial features into a trained classifier to recognize information of an owner.