An AI and machine learning expert with a focus on image recognition is required to develop an application for extracting vertical traffic signs from mobile laser scanning point clouds and geotagged GoPro videos collected along highways. The project involves processing high-resolution 3D point clouds (LAS format), GoPro 2.7K video footage, and highway axis data to accurately identify and locate traffic signs. Deliverables include the precise coordinates (x, y) of each traffic sign, extracted images of the signs, and a detailed attribute table covering sign type, dimensions derived from the point cloud, and visible panel inscriptions from the images. Sample input datasets and expected outputs are available to guide development. This is a complex, research-driven project with potential for follow-up work.
Requirements
- Proven expertise in AI and machine learning, particularly in computer vision and image recognition
- Experience working with 3D point cloud data (LAS format) and geospatial data processing
- Ability to integrate video data (e.g., GoPro footage) with point cloud datasets for feature extraction
- Skills in developing algorithms for object detection, classification, and attribute extraction
- Familiarity with geospatial coordinate systems and precise mapping techniques
- Proficiency in Python and relevant libraries (TensorFlow, PyTorch, OpenCV, PCL, etc.)
- Strong problem-solving skills and ability to deliver accurate, production-ready solutions
- Availability to complete the project as a single assignment, with openness to potential follow-up work
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- Posted
- Aug 26, 2025
- Type
- Contract
- Level
- Mid-Senior
- Location
- United Arab Emirates
- Company
- Twine
Industries
Categories
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