AI Visual Inspection Solutions Built For Quality Control In The Manufacturing Industry

AI Visual Inspection Solutions Built For Quality Control In The Manufacturing Industry

Our advantages

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:

• Manual inspection depends on operator perception and experience
• Traditional inspection machinery requires programming, which is inflexible and cannot adapt to product changes
• Existing machine vision-based inspections can only detect a few defects at a time
• Manufacturing is no stranger to innovation, from mass production to lean manufacturing to 6 Sigma and, more recently, enterprise resource planning

Artificial intelligence (AI) promises to bring more innovations to the forefront. In theory, there are multiple benefits to using AI:

• Reduce operator cognitive load and reduce errors
• No programming required, adapt to product changes
• Detect hundreds of areas of interest for products in seconds

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:

• Automotive manufacturing: paint shop surface inspection, body shop weld inspection, stamping shop inspection (scratches, dents, cracks, staining), cast engine block inspection (cracks, deformations, abnormalities)
• Semiconductor manufacturing: wafer-level anomaly and defect location, chip crack detection, pre-positioning inspection, SoC packaging inspection, circuit board assembly inspection
• Electronics Manufacturing: Defective or missing printed circuit board (PCB) components (screws, springs, foam, connectors, shields, etc.), PCB soldering and bonding (insufficient solder, icicles, shifting, over-tin, etc.), product surfaces Check (glue spillage, mesh deformation, scratches, air bubbles, etc.)
• General Manufacturing: Packaging and Label Inspection, Fabric Inspection (Mesh, Tear, Yarn), Metal and Plastic Weld Inspection, Surface Inspection

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