SmartCheck

Count objects in a photo with three example taps

OpenAI DayArtificial IntelligenceProductivity

▲ 57 votes3 commentsLaunched Sep 18, 2026

Daily #16Weekly #160

Count materials, parts, products and crops from a photo. Tap three examples and SmartCheck detects similar objects, shows their positions, and lets you review, correct and save the result. No installation or object-specific training data needed. Try 10 counts without signing in. Built by students at Tokyo University of Science. Results depend on the objects and photo conditions.

AI Analysis

📝 Summary

SmartCheck is an AI tool that counts objects such as materials, parts, products, and crops in a photo. Users tap three examples, and the system detects similar items, displays positions, and allows review, correction, and saving. No installation, training data, or sign-up is needed for 10 free counts. Built by Tokyo University of Science students, it addresses tedious, error-prone manual counting. The value proposition is instant, accessible AI counting that improves productivity without specialized setup, though results vary by object and photo quality.

📈 Market Timing

In 2025-2026, AI vision technologies are maturing rapidly with accessible models, aligning with rising demands for no-code productivity tools amid labor shortages in manufacturing and agriculture. Economic focus on efficiency and AI innovation policies in Asia support adoption. This is a good time as user readiness for simple AI solutions grows. Excellent Timing.

✅ Feasibility

Technical difficulty is moderate, relying on existing AI for few-shot detection without custom training. Low operational costs via cloud APIs, minimal supply chain risks, and high scalability as a web tool. The student team demonstrates technical capability, though accuracy variability noted on site poses some operational risk. Overall High feasibility.

🎯 Target Market

Primary users: professionals in agriculture (crop counting), manufacturing/logistics (parts and inventory), and quality inspection. Demographics: 25-55 year old field technicians and managers. Geographic focus starts in Japan with global potential. Core pain points are time loss and errors in manual counting. TAM for industrial AI vision tools is substantial; users likely have medium-high willingness to pay for time-saving solutions.

⚔️ Competition

Competition level is Medium. Direct competitors: 1. CountThings (countthings.com), 2. Roboflow (roboflow.com), 3. Azure Computer Vision (azure.microsoft.com), 4. Anyline (anyline.com). Advantages: zero-training 3-tap simplicity, no install, quick start. Disadvantages: accuracy depends on conditions (per description), fewer enterprise features/integration than competitors, limited to basic review/correct workflow.

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