Where can manufacturing enterprises break through the path of intelligent transformation due to talent shortage and high costs?
The demand for AI applications is increasing in various industries, and the integration of AI and industry is becoming more and more in-depth and professional. In a joint survey with Boston Consulting Group, we found that approximately 86% of the market demand requires customized development of AI models for business scenarios. However, the implementation of artificial intelligence is an extremely complex system engineering, and it takes at least 3-6 months to complete a project end-to-end.
In the production of automotive parts bearings, quality inspectors use manual visual observation and other quality inspection methods to identify defective products. Manual quality inspection can lead to visual fatigue, resulting in missed or false detections, which can affect the yield rate of products. At the same time, factories also face extremely high labor costs. Weisken is a company specializing in the design, production, and service of non-destructive testing systems for automotive components. It has previously formed its own team to develop algorithm technology, investing nearly one million manpower costs. However, after more than a year of investment, due to personnel capabilities and algorithm technology barriers, it was found that the algorithm effect was not ideal and it was difficult to meet the accuracy requirements of customers on the production line. The visual inspection solution for finished bearings developed by Wescane based on PaddlePaddle EasyDL, from data annotation to model verification, only one engineer can eliminate the problem of missing inspection caused by human error in one month; And it can quickly change the testing items and modes according to customer needs.
PaddlePaddle EasyDL zero threshold AI development platform provides multi scene automatic modeling function, covering the whole process of intelligent annotation, model training, service deployment, etc., and can obtain customized AI services in 15 minutes at the earliest. EasyDL has been implemented in over 20 industry scenarios, including intelligent manufacturing, intelligent hardware, retail fast-moving consumer goods, smart cities, etc., collaborating with enterprises to upgrade their intelligence and achieve the goal of reducing costs and increasing efficiency.
On June 23, PaddlePaddle China will walk into Xiamen to directly address the demands of enterprises' intelligent transformation and upgrading. Focusing on industrial quality inspection, safety inspection, production equipment health management and other issues, government experts, industry bigwigs, etc. will deeply analyze the industrial trends and opportunities, explain the industry's high-quality cases, and jointly explore the infinite possibilities of AI enabling thousands of industries.
Event Highlights
01
Local industry and policy analysis to assist enterprises in controlling industry trends
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Detailed explanation of manufacturing industry cases, deciphering how AI technology is implemented and applied
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Industry technical experts face-to-face Q&A; A， Surprise gift packages are constantly being given away
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The "Universal Gravity Plan" offers exclusive benefits for enterprises with a maximum value of 200000 yuan
05
AI practical camp, zero threshold practical experience for rapid AI development
Do not miss the exclusive interactive time where all questions must be answered
This event is specifically reserved for everyone to answer questions and participate in interactive lucky draws, allowing you to learn about the course content in advance. Perhaps it will give you some good inspiration!
PaddlePaddle EasyDL
A zero threshold AI development platform provided for enterprise AI application developers, realizing high-precision AI models customized with zero algorithm foundation. EasyDL provides one-stop intelligent annotation, model training, service deployment and other full process functions, with rich pre training models and automated model optimization mechanisms built in. It supports flexible deployment methods such as public cloud, device side, private server, and integrated software and hardware solutions. Click to view more:
Information source: Intelligent Manufacturing
