[AI Image Inspection Case] Sample Book Evaluation
The AI image inspection software detects and determines the types of wood grain in the sample book!
The manufacturer that produces various sample books has also considered our inspection software. In cases like wood grain patterns, there are often discrepancies in color, texture, and design, making it difficult for traditional rule-based image inspection methods. Our website offers a free web trial of the inspection software. You can experience the inspection software that uses AI (deep learning) and make inquiries based on that experience. [Inspection Settings and Results] The images are annotations. By using software that employs AI (Deep Learning) for inspection and training it on the areas to be detected, the software itself adjusts its setting parameters and grows to recognize them. As a result of testing with the samples you provided, there were some misjudgments, but we achieved 100% detection with the trained images. Since the sample products used as teacher images were only three, there were instances of false detection for "similar colors" and "variations in wood grain." By increasing the number of teacher images, it is possible to learn various patterns of wood grain (features) and improve the accuracy rate. Additionally, capturing images separately from the left and right (with two cameras) and enlarging them is also an effective method.
basic information
【Software and Equipment Used】 Software Used: DeepSky Field of View: 500 x 400mm Minimum Size of Inspection Target: 50mm Number of Inspection Points: 13 Camera Resolution: 1.3 Megapixels Lens Focal Length: 12mm Distance Between Lens and Product: 1000mm
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Applications/Examples of results
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