Ceiling Measurement Tool
LANCER
Lancer:
<= 2 resources OR <=3 weeks effort OR <=$3000 USD
Growth:2 - 4 resources AND upto 4 months OR
upto $30000 USD
Enterprise:Everything else
(Development)
Project Description
A leading industrial automation company specializing in warehouse operations approached Oodles for a smart alternative to manual ceiling height measurements. Their need was clear: a fast, camera-based tool that eliminates the use of laser instruments. A YOLOv8-powered image analysis solution was delivered to detect and measure ceiling heights with accuracy and ease.
Scope Of Work
The client needed a computer vision system to detect ceilings, floors, and propellers from images and compute real-time height data. Areas of work included image data annotation, YOLOv8 model training, algorithm design for pixel-to-metric conversions, and support for both calibration-assisted and calibration-free workflows.
Our Solution
To solve the client’s challenge, a custom AI-powered measurement tool was developed using YOLOv8 and Python.
An algorithm was integrated to convert detected object positions into real-world height data. This supported two workflows:
- With Calibration – Uses the Coca-Cola bottle for accurate pixel-to-cm scaling.
- Without Calibration – Estimates height using relative object proportions and bounding box logic.
Key Features Implemented:
- YOLOv8-based object detection for ceiling, floor, and propellers
- Roboflow-assisted image annotation pipeline
- Pixel-to-metric height estimation algorithm
- Dual-mode operation: calibrated and non-calibrated.