English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Tools annual

Global: Zendy Free Plan

Global: Zendy Tools monthly

Global: Zendy Plus monthly

In view of the rapid development of the current 3C electronics industry and the large scale mass production of various USB charging lines, the identification and detection of various Micro head positioning slots still rely on manual detection, which is not only difficult and inefficient, but also leads to a series of false detection. Therefore, a Micro head slot identification and detection system based on machine vision technology is proposed. Through the self-developed Micro head location slot identification detection algorithm, through the Micro head location slot image binarization processing, Micro head location slot feature segmentation to open and close operation, combined with OpenCV developed Micro head location slot feature location algorithm, Micro head location slot identification and detection. The system successfully completed the identification and detection test of Micro head positioning slot, and the identification and detection speed is fast and the accuracy is high, which is of great promotion and use value.

An Micro Head Positioning Slot Recognition Detection System Based on Machine Vision