LiDAR Assisted Curvature Detection App
Budget: $1,500 – $3,000 USD
Hello , I dont want any AI content . And I need only expert agency or individual. Plz propose in only case that you can handle perfectly. If you not ai ,plz write "hey Lidar " on the top of msg.
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We provide medical therapy for Peyronie’s disease, a condition characterized by curvature of the penis caused by internal scar tissue. The degree of curvature directly impacts treatment decisions.
To address this, we need an app that:
-Captures a 3D scan of a physical model (or patient) using the LiDAR sensor on an iPhone or iPad Pro,
-Detects two planes defined by fluorescent green tie straps wrapped around the object (placed before and after the curvature),
-Calculates the deflection angle between those planes with high accuracy,
-Displays the result in a clean UI,
-Allows the user to save or export the result (e.g., JSON, PDF, CSV).
@ Core Features
- Integrated LiDAR Scanning
Capture real-time 3D mesh or point cloud data using ARKit (sceneReconstruction = .mesh)
Only supported on LiDAR-enabled iOS devices (iPhone 12/13/14/15 Pro and iPad Pro 2020+)
- Plane Detection
User marks or the app detects regions around the green tie straps
Fit two planes using PCA or least squares from point cloud data
Extract normal vectors from each plane
Deflection Angle Calculation
Compute the angle between planes using vector math (dot product & arccos)
Display the angle in degrees with appropriate UX feedback
-User Interface
UI to start scan, visualize model, show angle result
Optional 3D rendering using SceneKit or RealityKit
Simple UX: no export/import — all handled within the app
-Data Output
Ability to export angle and scan metadata (e.g., timestamp, file ID) in JSON or PDF
Optional: Save scan file (USDZ or PLY) internally for recordkeeping
@ Deliverables
Complete iOS app (iPhone/iPad) with embedded LiDAR scanning
In-app 3D scan → plane detection → angle calculation flow
Clean UI to guide user through scan and result
Working export function (JSON or PDF report with angle)
Codebase and brief documentation for internal use
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We provide medical therapy for Peyronie’s disease, a condition characterized by curvature of the penis caused by internal scar tissue. The degree of curvature directly impacts treatment decisions.
To address this, we need an app that:
-Captures a 3D scan of a physical model (or patient) using the LiDAR sensor on an iPhone or iPad Pro,
-Detects two planes defined by fluorescent green tie straps wrapped around the object (placed before and after the curvature),
-Calculates the deflection angle between those planes with high accuracy,
-Displays the result in a clean UI,
-Allows the user to save or export the result (e.g., JSON, PDF, CSV).
@ Core Features
- Integrated LiDAR Scanning
Capture real-time 3D mesh or point cloud data using ARKit (sceneReconstruction = .mesh)
Only supported on LiDAR-enabled iOS devices (iPhone 12/13/14/15 Pro and iPad Pro 2020+)
- Plane Detection
User marks or the app detects regions around the green tie straps
Fit two planes using PCA or least squares from point cloud data
Extract normal vectors from each plane
Deflection Angle Calculation
Compute the angle between planes using vector math (dot product & arccos)
Display the angle in degrees with appropriate UX feedback
-User Interface
UI to start scan, visualize model, show angle result
Optional 3D rendering using SceneKit or RealityKit
Simple UX: no export/import — all handled within the app
-Data Output
Ability to export angle and scan metadata (e.g., timestamp, file ID) in JSON or PDF
Optional: Save scan file (USDZ or PLY) internally for recordkeeping
@ Deliverables
Complete iOS app (iPhone/iPad) with embedded LiDAR scanning
In-app 3D scan → plane detection → angle calculation flow
Clean UI to guide user through scan and result
Working export function (JSON or PDF report with angle)
Codebase and brief documentation for internal use