One-stop-solution for machine vision products.
Mstar Technologies, Inc, as a leading provider of a comprehensive Machine Vision System in China, was founded in March 2012, located in Zhejiangoverseas High-Level Talents Innovation Park. Mstar Technologies, Inc, is a company engaged in the area of development and production of machine vision products including machine vision system, industrial camera, FA lenses, machine vision lightings, infrared thermal cameras and etc..
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Hub Type Test
Hub Type Test
Background
Requirement Description:
1. After hub production and transportation, different types of hub need to be classified for subsequent sorting and packaging.
2. Manual detection method has low efficiency, high labor cost and low accuracy.
Technical requirements:
1. Recognition accuracy: > 99.9%
2. Types of wheel hub identification: > 200
Structure
Advantages
1. Recognition accuracy: 80-100 samples are collected for each type of initial model training, and the comprehensive recognition rate can reach more than 99%. Through field iteration, the final identification accuracy rate is more than 99.99%.
2. Large recognition capacity: deep learning classification algorithm uses the advantages of convolutional neural network and big data samples to improve the recognition capacity.
Mstar Technologies, Inc, as a leading provider of a comprehensive Machine Vision System in China, was founded in March 2012, located in Zhejiangoverseas High-Level Talents Innovation Park. Mstar Technologies, Inc, is a company engaged in the area of development and production of machine vision products including machine vision system, industrial camera, FA lenses, machine vision lightings, infrared thermal cameras and etc..