Jianea Case Studies On-line Inspection Of Automobile Assembly Based on Deep Learning

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	On-line Inspection Of Automobile Assembly Based on Deep Learning Jianea

On-line Inspection Of Automobile Assembly Based on Deep Learning

Jianea

Technology Category	Analytics & Modeling - Computer Vision Software
Applicable Industries	Automotive
Applicable Functions	Discrete Manufacturing
Use Cases	Object Detection
Services	Software Design & Engineering Services
Challenge	The cost of manufacturing testing is high with human capital. Manufacturers can only inspect partially (not all) of the products manufactured. The level of automation and equipment intelligence has been low. Read More
About Customer	Industrial, automotive component manufactuer. Read More
Customer Name	Ling Yun Industrial Read More
Solution	Using thousand Mega high-speed wired transmission network, data is transmitted to the big data computing and analysis platform. At the same time, using 4 industrial cameras to take pictures of the finished product from the output machine at the end of the production line. The maximum data flow of the camera is 29.5M/s. The data flow of the four cameras is 118M/s, the amount of image data generated per day is about 3T, transmitted on a gigabit wired network. After the analysis and comparison on the online quality real-time judgment system, the comparison and analysis results are obtained. Read More Log in to view content
Contents

Technology Category

Analytics & Modeling - Computer Vision Software

Applicable Industries

Automotive

Applicable Functions

Discrete Manufacturing

Use Cases

Object Detection

Services

Software Design & Engineering Services

Challenge

The cost of manufacturing testing is high with human capital. Manufacturers can only inspect partially (not all) of the products manufactured. The level of automation and equipment intelligence has been low.

About Customer

Industrial, automotive component manufactuer.

Customer Name

Ling Yun Industrial

Solution

Using thousand Mega high-speed wired transmission network, data is transmitted to the big data computing and analysis platform. At the same time, using 4 industrial cameras to take pictures of the finished product from the output machine at the end of the production line.

The maximum data flow of the camera is 29.5M/s. The data flow of the four cameras is 118M/s, the amount of image data generated per day is about 3T, transmitted on a gigabit wired network.

After the analysis and comparison on the online quality real-time judgment system, the comparison and analysis results are obtained.

Impact #1	[Management Effectiveness - Operation] Reduce production scrap rates. Shorten production cycle. Improve the production management efficiency of enterprises.

Impact #1

[Management Effectiveness - Operation]

Reduce production scrap rates. Shorten production cycle. Improve the production management efficiency of enterprises.

Benefit #1	The efficiency has been improved, and the overall efficiency of the equipment has been increased from 65% to 70%.
Benefit #2	The quality has been improved, and the qualified product rate has increased from 95% to 98%.
Benefit #3	The inspection method has been changed from the original random inspection to full inspection, and comprehensive control of product quality - reduced testing personne by 2 person-days per line (10 person-years in total).

Benefit #1

The efficiency has been improved, and the overall efficiency of the equipment has been increased from 65% to 70%.

Benefit #2

The quality has been improved, and the qualified product rate has increased from 95% to 98%.

Benefit #3

The inspection method has been changed from the original random inspection to full inspection, and comprehensive control of product quality - reduced testing personne by 2 person-days per line (10 person-years in total).

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Overview

On-line Inspection Of Automobile Assembly Based on Deep Learning

Operational Impact

Quantitative Benefit