Online model identification instrument based on DaVinci framework and embedded type image detection technology

Abstract

The invention provides an online model identification instrument based on a DaVinci framework and an embedded type image detection technology, comprising primary equipment and slave equipment which are in a binocular identification structure, image collecting equipment, a self-adaption light source, an acousto-optic alarm and user operation equipment, wherein the main equipment and the salve equipment are respectively connected with one image collecting equipment; the main equipment is further connected with the self-adaption light source and the acousto-optic alarm; the slave equipment is further connected with the user operation equipment; the image collecting equipment is used for collecting an image of an object to be indentified on the current production line to generate a composite video; and the main equipment and the slave equipment are used for carrying out image identification on composite video signals collected by the image collecting equipment which is respectively connected with the main equipment and the slave equipment.. The identification instrument disclosed by the invention can be adapted to an industrial field environment and can collect a good-quality image under any external light condition; and the identification instrument has the advantages of higher character identification rate, highly-integrated hardware, complete utilization of resources and very good flexibility.

Description

Technical field [0001] The invention belongs to the field of automatic detection, relates to the detection field of embedded image feature extraction, and specifically relates to an embedded online model recognition instrument based on DaVinci architecture and image detection technology. Background technique [0002] Nowadays, products or technologies that use image recognition to complete the detection function are very common. Among them, some image recognition systems, such as license plate recognition, have high quality requirements for image clarity, resolution and image distortion, and require fast image acquisition speed, and images need to be compressed and saved. The front end generally uses high-speed digital cameras. Processing terminals generally use high-performance computers. It can be seen that such systems have high requirements for equipment performance, but the actual working environment is generally poor, and it is not easy to achieve high recognition rate, low...

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of online identification of product models on the production line, the present invention proposes an online model identification instrument based on DaVinci architecture and embedded image detection technology, which integrates user operation interface, adaptive light source, image acquisition, video trigger, image identification, dual Eye data fusion, log recording, sound and light alarm and other functions

Images