introduction

With the continuous improvement of the penetration rate of AI technology in the industrial field, the solutions combined with the practical application of AI technology in the industrial industry have gradually become an important channel for the intelligent upgrading of traditional industrial industries and a general trend of future development.

AI industrial quality inspection industry

For a long time, the traditional quality inspection mainly relies on manual quality inspection and product sorting, defective products are often difficult to be effectively recorded and sorted, coupled with the uneven experience level of quality inspectors, resulting in low quality inspection efficiency, small coverage area, and different quality inspection standards. Not only that, with the aging of China’s population and the continuous rise of labor costs, there has been a phenomenon of “labor shortage” in all walks of life, especially the repetitive and boring quality inspection positions.

Compared with manual quality inspection, AI quality inspection has obvious advantages, which can effectively reduce the cost of human resources, achieve full coverage of quality inspection, unify testing standards, and improve the rate of good products, thus greatly improving production efficiency. And AI quality inspection can carry out in-depth analysis with the help of machine learning modeling, optimize the process and improve the process on its own, and also has the advantage of not relying on manual experience.

Al industrial quality inspection mainly involves the detection of product appearance defects, size, flatness, distance, calibration, welding, quality, bending degree and so on. AI industrial quality inspection mainly uses the algorithm library of machine vision, optical devices and image sensors, and combines machine vision and neural network algorithms to improve the efficiency of quality inspection of enterprises, reduce the cost of labor use, and help manufacturing enterprises achieve cost reduction and efficiency.

Machine vision-related hardware and software are the key to achieve AI industrial quality inspection applications, and AI industrial quality inspection manufacturers are mainly cloud manufacturers, machine vision manufacturers, and Al technology innovation manufacturers. The downstream applications of AI industrial quality inspection cover many industries such as semiconductors, new energy, and industrial automation.

Industry pain point

AI industrial quality inspection often requires fragmentation and customization, requiring customization and local rapid response services to improve efficiency and control costs.
The industry has a refined nature, high requirements for failure rates, and almost demanding standards for product stability.
Data in the industrial field is extremely complex and scattered, and runs through all aspects of research and development, production, testing, operation, etc., and the project cycle is long, requiring products with long life cycle to support the landing and implementation of the entire program.
Software and hardware integrated solutions require hardware devices and software applications to have a high degree of adaptability and compatibility, which puts more cross-professional requirements on most manufacturers who only focus on a certain field.

Advantech Industrial motherboard AIMB-288E solution

Since 1983, Advantech has been deeply engaged in the embedded field for 40 years, providing a complete series of embedded products, comprehensive embedded Design and design-in-integration services, accelerating the deployment of industrial equipment, enhancing the value of product differentiation, and helping customers to obtain market opportunities. AIMB-288E, as the first product designed by Advantech using horizontal MXM graphics card slots, provides an ideal solution for the AI industry quality inspection industry.

Equipped with Intel 12th-generation Intel Core i desktop processor and H610E chipset, the performance is 1.6 times higher than that of the 10th-generation desktop processor, meeting high performance requirements.
At the same time, it can be equipped with NVIDIA Quadro T1000/RTX A2000 graphics card, which helps fast recognition and intelligent decision-making. It has a CUDA of up to 2560 and can achieve 8.25Tflops. 3D image performance increased by more than 5.2 times, and object detection algorithm capability increased by more than 1.5 times. AI performance frame rate up to 168FPS;
The unique horizontal MXM graphics card slot design makes AIMB-288E save 66% space than similar general motherboards, the height is only 42mm, to adapt to the space size requirements of the environment;
Dual network port design, support stable connection of high-end image/video capture equipment;
Adapted to EPC-T3228E machine, Advantech industrial quality, stable and reliable;
Adapt Advantech DeviceOn integrated management platform for Internet of Things devices and embedded OS/BIOS and other value-added software to break the barrier of soft and hard adaptation;
Advantech has 44 branches and offices, 50 contracted service stations, more than 100 dealer partners, and a professional localization technical service support team, which can provide timely and professional support and service for each customer, help customers shorten the development cycle and greatly save product development costs.