Industrial Automation AI Visual Inspection System With Deep Learning Algorithm
Equipment Features
| 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 |
The value of AI visual inspection
- The value of artificial intelligence is particularly evident in visual inspection. AI-based visual inspection technologies are improving manufacturing business operations.
- AI-based visual inspection relies on two strengths of AI: computer vision and deep learning. Every AI system has a core capability to sense its environment and act on those perceptions.
- AI can adapt to various environments through deep learning, making it applicable to a wide range of industries. It has unlimited potential and can be developed quickly to meet the needs of manufacturers.
Principle of visual inspection
Just like the human eye can detect defects, a well-trained AI vision system can do it, and with greater efficiency. An AI-based vision system captures images and sends them to a central "brain" for processing. The AI "brain" arrives at a detailed meaning by comparing the images with existing knowledge.
An AI-based vision system consists of these two integrated components: the perception device acts as the "eye," and the deep learning algorithm acts as the "brain." The integrated system successfully mimics the ability of the human eye and brain to interpret images.
AI-based vision systems are more efficient than human eyes because the AI "brain" stores more information. Powerful computing power can quickly parse the available data. The system can classify objects in photos and videos and perform complex visual perception tasks. Such as searching images and captions, detecting objects, recognition and classification.
Hardware:
- Camera: We use our own developed camera (the chip is from Japan), which has clearer image recognition and is more compatible with our own software.
- Light source: We have a dedicated optical team to develop various light sources to adapt to the optical scene requirements of different industrial scenes.
- Embedded computer: The KEYE team independently developed the embedded computer NPU computing box, which replaced the traditional PLC industrial computer; it is not afraid of sudden power outages and high temperature scenes, and can better adapt to the high temperature environment.
Software:
- Algorithm: We use the latest AI deep learning algorithm. Most products only need a small amount of sample learning to complete a new product model; the machine can continuously learn some defects and good samples like the human brain, making the detection effect better and better.
- Software: The latest KEYE V16.0 software can realize a variety of data statistics and human-computer interaction functions, and the touch screen operation is simpler.
- KEYE cloud platform: The AI cloud platform can create its own cloud platform account for each customer, and the pictures of each training operation will be saved in its own account; even if the algorithm is lost due to software algorithms or other problems, all previous data can be retrieved through an independent cloud platform account. (KEYE team has technicians who regularly maintain this platform).
- After-sales service: Provide long-term remote service, customers only need to keep the device in good network connection.
Delivery Time
The production cycle of the whole machine is expected to take 60 days. If additional inspection requirements are added or more adjustment needed, the time will be appropriately extended accordingly. After the equipment arrives at the customer's site, our company arranges after-sales personnel to complete installation and adjustment at the customer's site.
After Sales Service
- The seller should complete the creation and debugging of the product basic algorithm model before the equipment is shipped, also provide remote assistance after the equipment arrives at the customer site; and provide buyer with the factory data and operation manual of equipment.
- Daily operation and maintenance services: Our company provides free remote operation and maintenance online services. If you need to upgrade inspection algorithm, provide operational assistance, etc.
- Our company have regular offline training plan every year, so domestic and foreign clients can send their engineers to participate (at their own expense). Those who pass the exam can obtain an industry functional skills certificate.
Product Tags:
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Industrial Automation AI Visual Inspection System With Deep Learning Algorithm Images
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