Improve Visual Inspections &
Achieve High-Precision
Automation
HACARUS Check
AI Software
HACARUS's proprietary AI learns from just a few dozen images of non-defective products and automates visual inspection with accuracy equivalent to that of experienced inspectors.
Examples of Targeted Work and Defect Detection
Use Cases
Surface Inspections
Cosmetic Defects Such as Scratches, Dents and Contaminations
Completeness Check
Foreign Object Contamination in Electronic Circuit Boards, Soldering Defects, and more
Examples of Defect Detection by Inspection Algorithms
Scratches on Metal Plates
Dents on Metal Workpieces
Foreign Object Contamination on Electronic Circuit Boards
Are you facing challenges
like these?
Wanting to automate visual inspection but haven't been able to do so
- Challanges in collecting and labeling defect in large quantities
- Unable to conduct extensive re-training every time the workpiece changes
Using rule-based systems to implement inspection equipment
- Already have inspection equipment
- You want to prepare the imaging equipment on your own
- Automated inspections take time to get up and running
AI has been introduced but not effectively utilized
- AI in use but there are accuracy issues
- AI (Deep Learning) has not been validated and cannot be applied to mass production.
- Defects missed due to unknown anomalies
Features
HACARUS Check
AI Software
An AI visual inspection software producing highly accurate predictions, trained with small data & only with good samples. It does not require individual development for each inspection target.
Until now
Each Inspection Target Requires Development of a New Inspection Model
Each inspection target needs its own AI model, which requires extensive development work.
After Introduction
No development required for each inspection target
AI Visual Inspection Models are built by learning from Small Data onsite.
Feel free to test out training and inspection using our HACARUS Check AI Software
Case Study
Collaborative Robot + AI Visual Inspection for Automating Die-Cast Surface Inspection
Background of HACARUS Check Implementation
Asahi Kosei Co., Ltd. had previously attempted to automate inspection in order to address labor shortages and prevent defective products from being shipped. However, challenges remained—such as the lack of transparency in AI judgment—and achieving inspection accuracy close to human visual inspection was considered an ongoing challenge. Recognizing the strength of our AI in die-cast surface inspection, they approached us with hopes of overcoming these issues.
Implementation Results
The inspection process, which previously required six inspectors, can now be operated with just two. In addition, human error has been eliminated, resulting in more consistent product quality. Discussions have already begun regarding implementation in other projects.
HACARUS can provide a one-stop solution from AI software to hardware. We can propose the necessary cameras, lighting, and equipment for image inspection according to your needs. Please feel free to consult with us.