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Object Counter: AI Scanner

📷 Count objects quickly with your camera using on-device AI

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Object Counter makes it easy to count objects in real time or from images. Use your camera, capture a photo, or import images from your gallery or files. 🔍 Recognize familiar objects like people, vehicles, and animals, or use Shape Count for repeated and tightly packed items. ✨ Real-time & photo counting, visual markers, totals, saved results, and multiple themes. 🔒 Private & offline—detection runs on your device. No account required and no images are uploaded.

PH · launched Sep 25, 2026 · 1 upvote (top 69%) · 0 views

Niche: visual scanning and appraisal apps · 63 launches, 11 in the last 7 days ▲ +22% · Explore this niche →

Category and tags

  • Horizontal
  • Analytics & BI
  • Prosumer
  • AI-native
  • Commercial product
  • Android
  • Productivity

Visit website ↗ Source listing ↗

Could you build this?

Partial While standard object detection (YOLO/MobileNet) is accessible, real-time edge-counting of arbitrary repeating shapes and dense overlapping objects requires specialized computer vision models and optimization.

What it would actually take: The app needs an on-device inference pipeline using Apple CoreML or Android TFLite/ONNX Runtime. While standard classes (people, vehicles) leverage off-the-shelf YOLO models, counting repeated dense items (like timber, pills, or pipes) requires specialized density estimation or dot-annotation zero-shot detection models (e.g., Count-Anything/Segment Anything variants) heavily quantized for mobile GPUs. Mobile CV optimization and model fine-tuning are essential.

Competitors

Other products that read as similar to this one : 196 launches clear the similarity bar, closest 8 shown.

Attention rank: #149 of 197 (itself plus its competitors, highest first, normalized so YC and Product Hunt are compared fairly).

Launched 193 days after the earliest competitor.

The niche, labels, vibe code rating and competitor comparison on this page are analysis by Nicheloom. If you use them, please credit nicheloom.com. How you may use our data.