Breaking Away From Visual Inspection

What Is the AI Visual Inspection System “FALCON”?

The IoT-compatible appearance inspection system “FALCON” utilizes image processing technology to identify and detect abnormalities in the visual appearance of products, a task traditionally performed by humans. We take into account customer requirements, such as high-definition inspection, takt time support, and over-detection prevention, and offer comprehensive solutions, including the setup of the imaging environment, configuration of inspection parameters, and support for automation within the production line.

Issues and Effects in Visual Inspection

Current Issues Visually Observed

  • Variations in testing accuracy due to the inspector’s skill and physical condition
  • Mistakes and typos caused by handwriting of test results

AI Visual Inspection With “FALCON”

  • Always make accurate judgments using set thresholds
  • No input/automatic saving of judgment results

Features of the IoT Compatible AI Visual Inspection System “FALCON”

We present the steps to consider when contemplating the implementation of an appearance inspection system.

Additionally, we outline our company’s measures for addressing potential challenges at each step.

1.Providing a Visible Imaging Environment

There are so many combinations of cameras, lenses, and lighting that it’s hard to know the best configuration

By establishing a database of past inspection data, we configure an optimal imaging environment based on factors such as shape, surface condition, and details of abnormalities

2.Integration of Rule-Based and AI-Based Inspection Algorithms

Inspection using either rule-based or AI (depending on inspection manufacturer)

Optimizing inspections based on defect content through a combination of rule-based and AI approaches

3.Easy AI Inspection Setup With “FALCON”

<Acquisition of Training Images>

Hundreds of images required

Inspection possible with at least 10 sheets

<Annotation (Defective Location Specification)>

In most cases, each image takes several tens of seconds

Possible in a few seconds per sheet

<Learning>

Half day to 1 day

Complete in as little as 10 minutes

<Inspection Accuracy Check>

Confirmation is required by passing the actual inspection object through an inspection machine.

Enables bulk verification using images of the inspection target acquired in advance

4.Assistance With an All-In-One Automated System

Consultation with inspection machine manufacturer/equipment manufacturer is required.

Consistent support all in one

5.In-House Operation After Introduction

Re-adjustment of inspection conditions due to product type switching, etc. requires a request from the inspection machine manufacturer.

Easy-to-use inspection software allows you to adjust inspection conditions by following the steps. *You can also select our operational support.

IoT Compatible AI Visual Inspection “FALCON” Performance

Take pictures of defectsCamera:Choose from area sensor and line scan camera

Light:Choose from various types of lighting
   
Imaging conditions are selected from the database
Learn defectsChoose from rule-based or AI

AI achieves both improved accuracy and shorter learning through supervised learning
Inspect the productWe provide inspection equipment that works in conjunction with automatic machines designed to fit your production line.

Expansion of inspection equipment according to takt time
Algorithm to applySupervised AI, Rule-based
Output the inspection resultsChoose from JPEG, CSV, or result analysis software
Minimum study time10 minutes
Data storage formatJPEG、CSV

Benefits of using IoT Compatible AI Visual Inspection System “FALCON”

Improving Inspection/Work Quality With Digitalization

■ Due to unified inspection standards by “FALCON”…

  • Preventing defective products from leaking outside
  • Reduction of human inspection variations
  • Reduction of inspection variability within the same person

Labor Saving

■ Due to freedom from visual inspection by inspectors…

  • Achieving labor savings in inspection operations
  • No need to train or hire inspectors

Preventing Tampering by Acquiring Digital Data

■ Through digital data management of test results…

  • Achieving traceability of inspection data
  • By analyzing defective data, we can pursue the cause of defectiveness and make improvements.

Click here if you would like to learn more about the IoT compatible AI visual inspection system “FALCON”.