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【Star Enterprise of Chemical Machinery Equipment Network ] Machine vision is a branch of artificial intelligence that is developing rapidly.
Simply put, machine vision is to use machines instead of human eyes to make measurements and judgments.
The machine vision system converts the captured target into an image signal through a machine vision product (ie, image capture device, divided into CMOS and CCD), and transmits it to the * image processing system to obtain the morphological information of the captured target.
According to the pixel distribution and Information such as brightness and color is converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the actions of the equipment on the spot according to the results of the discrimination.
Star Enterprise of Chemical Machinery Equipment NetworkChemical machinery and equipmentSimply put, machine vision is to use machines instead of human eyes to make measurements and judgments.
The machine vision system converts the captured target into an image signal through a machine vision product (ie, image capture device, divided into CMOS and CCD), and transmits it to the * image processing system to obtain the morphological information of the captured target.
According to the pixel distribution and Information such as brightness and color is converted into digital signals; the image system performs various operations on these signals to extract the characteristics of the target, and then controls the actions of the equipment on the spot according to the results of the discrimination.
Machine vision is a comprehensive technology, including image processing, mechanical engineering technology, control, electric light source lighting, optical imaging,Sensors , analog and digital video technologies, computer software and hardware technologies (image enhancement and analysis algorithms, image cards, I/O cards, etc.
).
A typical machine vision application system includes image capture, light source system, image digitization module, digital image processing module, intelligent judgment decision module and mechanical control execution module.
sensor).
A typical machine vision application system includes image capture, light source system, image digitization module, digital image processing module, intelligent judgment decision module and mechanical control execution module.
The basic feature of the machine vision system is to improve the flexibility and automation of production.
In some dangerous working environments that are not suitable for manual operations or occasions where artificial vision is difficult to meet the requirements, machine vision is often used to replace artificial vision.
At the same time, in the mass repetitive industrial production process, the use of machine vision inspection methods can greatly improve the efficiency and automation of production.
In some dangerous working environments that are not suitable for manual operations or occasions where artificial vision is difficult to meet the requirements, machine vision is often used to replace artificial vision.
At the same time, in the mass repetitive industrial production process, the use of machine vision inspection methods can greatly improve the efficiency and automation of production.
Nowadays, China is becoming one of the areas where the development of machine vision is active in the world, and its applications cover various industries in the national economy such as industry, agriculture, medicine, military, aerospace, meteorology, astronomy, public security, transportation, safety, and scientific research.
The important reason is that China has become a processing center in the manufacturing industry.
The high-demand parts processing and corresponding production lines have enabled many advanced machine vision systems and application experience to enter China.
The important reason is that China has become a processing center in the manufacturing industry.
The high-demand parts processing and corresponding production lines have enabled many advanced machine vision systems and application experience to enter China.
Recently, the editor learned that Huawei Machine Vision launched the Haowang cloud service and signed contracts with 18 Qihang partners such as iSoftStone, Yuncong Technology, and Nanjing Aokan.
The release of Haowang Cloud, an industry video cloud service, signifies that the machine vision end-cloud collaboration solution architecture centered on Haowang Cloud service is officially complete.
The release of Haowang Cloud, an industry video cloud service, signifies that the machine vision end-cloud collaboration solution architecture centered on Haowang Cloud service is officially complete.
It is reported that the Haowang development platform is a minimalist intelligent algorithm development platform for end users and * of Huawei's machine vision.
Based on the underlying capabilities of Huawei Cloud ModelArts, it provides a one-stop service of "development-training-deployment-reasoning".
, The Good Hope development platform provides 9 categories of visual pre-training models, which can reduce the model that originally requires 100,000-level data training to 1,000-level data.
Among them, single action recognition, continuous action recognition, and complex behavior recognition are still the best in the industry, which can realize more complex intelligent functions.
Based on the underlying capabilities of Huawei Cloud ModelArts, it provides a one-stop service of "development-training-deployment-reasoning".
, The Good Hope development platform provides 9 categories of visual pre-training models, which can reduce the model that originally requires 100,000-level data training to 1,000-level data.
Among them, single action recognition, continuous action recognition, and complex behavior recognition are still the best in the industry, which can realize more complex intelligent functions.
Haowang develops the platform's semi-manual mode of intelligent labeling.
It only requires uploading data, a small amount of manual labeling, generating an initial model, massive independent labeling, and manual proofreading five steps, which saves 50% to 80% of data labeling manpower.
A normal pig face recognition model may reach 20M, but after distillation and pruning on the Haowang development platform, it can become 20M, and the inference speed is increased from 630ms to 40ms.
Duan Aiguo said that this was due to Huawei's in-depth understanding of the GPU/NPU chip architecture that enabled automatic model optimization.
It only requires uploading data, a small amount of manual labeling, generating an initial model, massive independent labeling, and manual proofreading five steps, which saves 50% to 80% of data labeling manpower.
A normal pig face recognition model may reach 20M, but after distillation and pruning on the Haowang development platform, it can become 20M, and the inference speed is increased from 630ms to 40ms.
Duan Aiguo said that this was due to Huawei's in-depth understanding of the GPU/NPU chip architecture that enabled automatic model optimization.
Since Huawei officially entered the field of smart security in 2019, Huawei's machine vision "good hope" end-side-cloud collaboration integrated architecture has gradually taken shape.
At the same time, the entire Huawei machine vision has also established an open ecosystem with many partners in the algorithm, security, and channel fields, focusing on several core application scenarios.
At the same time, the entire Huawei machine vision has also established an open ecosystem with many partners in the algorithm, security, and channel fields, focusing on several core application scenarios.
Huawei machine vision has finally begun to sell cloud to the distribution market.
This means that the ground launch of Huawei's security products in 2020 should be relatively optimistic.
Huawei is confident that terminal products can drive cloud service sales.
At the same time, cloud services will also be used for Huawei machine vision.
AI technology output provides better support.
This means that the ground launch of Huawei's security products in 2020 should be relatively optimistic.
Huawei is confident that terminal products can drive cloud service sales.
At the same time, cloud services will also be used for Huawei machine vision.
AI technology output provides better support.
Original title: Huawei officially releases Haowang cloud service, attacking the field of machine vision