Industrial Automation AI Visual Inspection System With Deep Learning Algorithm

AI Visual Inspection System With Deep Learning Algorithm For Industrial Automation

Equipment features

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.

Advantages of KEYE AI vision

1. Fast implementation

Automated systems from decades ago relied on defect libraries, exception lists, and complex filters. The time spent in accumulating, cleaning and re-executing information to ensure its accuracy reduces efficiency and wastes labor. Artificial intelligence and deep learning do not require lengthy programming or lengthy algorithms. The system learns quickly and can be trained in a matter of weeks.

2. Product improvement and quality control

Manufacturers can use AI to record inspection results and assess product quality. Inspection images and results can be tracked and recorded. These measures prevent future failures, saving time and additional production costs. Applying deep learning-based machine vision to all planning and inspections can help manufacturers detect and resolve problems early.

3. Reduce labor costs

AI solutions have a higher degree of human review than most professionals. Staff turnover is also an issue and labor costs increase every year. For these reasons, AI-based visual inspection is more cost-effective than human labor.

About Us

Development History

The technology center is composed of algorithm department, software department, optics department, hardware department and mechanical department. The algorithm team currently has 7 PhDs, ensuring that the AI algorithm has the ability to continuously update.

Organization Structure

Visual Inspection Solution

Vision Applications

Cooperation Partners