Contact person: Business Client

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Location: Mumbai, India

Budget: Recommended by industry experts

Time to start: As soon as possible

Project description:
"I’m building a low-cost, handheld intraoral 3D scanner for everyday clinical use. The hardware is fixed: a Raspberry Pi Camera paired with a simple structured-light projector inside a compact wand. What I still need is the software blueprint and a proof-of-concept workflow that turns a burst of 2-D captures into an accurate printable model.

Key objectives
• High accuracy on tooth contours—the algorithm must prioritise precise edge and surface definition over colour fidelity.
• True portability—everything should run on-board a Pi 4 (or lighter) without calling external cloud services.

Minimum deliverables
1. Python/OpenCV script that:
– synchronises projector patterns with camera frames,
– performs camera calibration, pattern decoding, and robust contour detection,
– estimates depth and produces a clean point cloud.
2. A lightweight surface-reconstruction step (Poisson, Marching Cubes, or similar) that outputs an .STL mesh ready for visualisation.
3. Clear, commented code and a short read-me covering dependencies, install steps, and how to trigger a single scan cycle from the command line.

Nice-to-have
• Live preview of captured frames on the Pi touchscreen.
• Simple button-based UI for dentists who aren’t technical.

I’m looking for a concise, working prototype rather than a polished commercial product. If you’ve previously handled structured-light, point-cloud generation, or Raspberry Pi imaging, your experience will fit perfectly." (client-provided description)