Machine Learning for Pose Estimation

Job ID: 37986675

Budget: $250 – $750 USD

I'm looking to hire a talented individual who can develop a machine learning-based pose estimation system that's well-suited for the assembly process of different objects, providing step-by-step instructions. My research is about AR assisted assembly process, and I want to use the deep learning model like pvnet or pvn3d or others that provide 6 dof to detect and track the object to provide guidance to the work to complete the assembly. The guidance like to be an arrow marker or message show virtually in real time pose estimation or using the Hololense.

Key Requirements:
- The primary application of this system will be to assist in the assembly process of various objects. Thus, it's important that it can accurately track and estimate the pose of different components.
- The system should provide clear and precise step-by-step instructions that can help guide users through the assembly process.

Ideal Candidate:
- Someone with a strong background in machine learning and computer vision would be best suited for this project.
- Experience in developing similar systems for industrial or assembly line applications would be highly beneficial.
- Good communication skills to understand the nuances of different assembly processes and to create user-friendly instructions.