Anhui Keye Information & Technology Co., Ltd.
Anhui Keye Information & Technology Co., Ltd.
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AI Visual Inspection Solutions Built For Quality Control In The Manufacturing Industry
Our advantages
| 1. AI algorithm: high stability, adapting to the environment and background disturbance; different defect samples can be automatically identified after training |
| 2. Dataization: Independent database, save multiple samples, analyze non-good products, and retain history |
| 3. Multi-orientation: 360 ° comprehensive inside and outside the samples |
| 4. High precision: detection accuracy can be high |
| 5. Modularization, can flexibly increase or decrease the detection function according to customer actual needs |
| 6. Easy to operate: It is easy to operate and easy to maintain |
| 7. Safety: Medical grade material manufacturing, fully compliant with medical supplies production environment |
Manufacturing and Artificial Intelligence
According to a Google Cloud survey, manufacturing companies are making more use of AI and big data due to the COVID-19 pandemic, with 66% of manufacturers using AI indicating that they are increasingly relying on AI.
Deploying artificial intelligence in manufacturing to assist daily operations
Research shows that companies using AI in their day-to-day operations are primarily for business continuity assistance (38%), using AI to improve employee efficiency (38%), and to help employees overall (34%). And artificial intelligence, or machine learning, can improve worker efficiency by providing prescriptive analytics, flagging safety hazards or detecting potential defects on the production floor.
AI is generally used for quality inspection, product/line inspection, supply chain management, inventory management, etc.
Visual Inspection AI solution
The manufacturing process typically consists of one or more steps, many of which require the product to be visually inspected for defects. Often, visual inspection is a highly manual process that is time-consuming and error-prone. Rule-based visual inspection machines have also emerged over the years, but each approach has drawbacks:
Artificial intelligence (AI) promises to bring more innovations to the forefront. In theory, there are multiple benefits to using AI:
Industry applications
Currently, the Visual Inspection AI (Visual Inspection AI) has been used in the following industries and usage scenarios, such as specific quality control issues: