Abstract: The present disclosure relates to a device and a system for testing flatness. The device for testing flatness includes a base, a testing platform, and a ranging sensor. The testing platform is assembled on the base. The testing platform includes a supporting structure. The supporting structure is disposed on the side of the testing platform away from the base and is used to support a to-be-tested board. The structure matches the structure of the to-be-tested board. The ranging sensor is disposed on the side of the testing platform away from the base. After the to-be-tested board is placed on the testing platform, the ranging sensor is used to test distances between a number N of to-be-tested positions on the to-be-tested board and the ranging sensor, to obtain N pieces of distance information, and the N pieces of distance information are used to determine the flatness of the to-be-tested board, where N is an integer greater than 2.

Abstract: A target tracking hardware implementation system and method are provided. The target tracking hardware implementation system (200) includes: an intercepting and scaling module (210) configured to intercept a target image and to-be-checked images of a plurality of sizes from a video in an external storage module (300), and normalize the images to a specified size by scaling; a feature extracting module (220) configured to extract features of the normalized images; a feature managing module (230) configured to access and update a matching template based on the extracted image features; a Kernelized Correlation Filter (KCF) calculating module (240) configured to calculate the KCF response of each of the to-be-checked images based on the extracted image features and the updated matching template, and select the to-be-checked image with the largest KCF response as the tracked target.

Abstract: A target tracking hardware implementation system and method are provided. The target tracking hardware implementation system (200) includes: an intercepting and scaling module (210) configured to intercept a target image and to-be-checked images of a plurality of sizes from a video in an external storage module (300), and normalize the images to a specified size by scaling; a feature extracting module (220) configured to extract features of the normalized images; a feature managing module (230) configured to access and update a matching template based on the extracted image features; a Kernelized Correlation Filter (KCF) calculating module (240) configured to calculate the KCF response of each of the to-be-checked images based on the extracted image features and the updated matching template, and select the to-be-checked image with the largest KCF response as the tracked target.