SmartCheck.jp
Count similar objects in a photo with three example taps.
Count similar objects in a photo with three example taps.
This page is designed to help you find out whether SmartCheck.jp is good and if it is the right choice for you.
SmartCheck is a browser-based AI counting tool built by a student team at Tokyo University of Science.
Upload a photo and tap three examples of what you want to count. SmartCheck detects similar objects and shows their positions, so you can review the count, manually correct mistakes, and save the result. Save the setup as an AI Template to reuse it on future photos.
Try photo-based counting of materials, parts, products, or crops without preparing object-specific training data first. No app installation is needed, and you can try 10 counts without signing in. Paid plans are available.
Results depend on the objects and photo conditions. Complex cross-sections, objects with holes, and angled photos may cause missed or duplicate detections. Review results before using them in your workflow.
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Photo-based object counting
Tap three examples in a photo to detect and count similar objects.
Visual review and correction
See detected positions, manually correct mistakes, and save the result.
Reusable AI Templates
Save a counting setup as an AI Template for future photos.
People who need to check quantities of visible, similar objects in photographs, including materials and parts in construction or manufacturing, goods in logistics, and agricultural produce. SmartCheck is intended for users who want to try photo-based counting and review the detected positions themselves. These are intended use cases, not claims of verified customer deployments; suitability should be checked with the user’s own objects and image conditions.
SmartCheck lets users specify what to count by tapping three examples in a photo. It detects similar objects and shows their positions alongside the total, so users can review and manually correct the result. The browser-based workflow lets users try a new counting target without preparing an object-specific training dataset. Results depend on the objects and photo conditions.
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