We are seeking a highly skilled developer or development team to create a real-time basketball shot tracking system. The system will be designed to accurately track the trajectory and movement of a basketball during training shots, providing valuable insights and data for performance analysis. The ideal candidate(s) will have extensive experience in computer vision, machine learning, and real-time processing. While we are considering using Stereolabs ZED cameras, we are open to suggestions for other potential solutions that may better suit the project requirements.

Responsibilities:

• Design and develop a system for real-time tracking of basketball shots during training.
• Implement algorithms to extract features such as ball position, velocity, spin, and trajectory.
• Use machine learning models to predict shot outcomes based on the extracted features.
• Implement the system with a Dev Kit or PLC, and ensure seamless communication between them.
• Ensure the system can handle real-time processing with minimal latency.
• Collaborate with our team for on-site or remote implementation at our Brookvale location.

Skills and Qualifications:

• Strong background in computer vision and image processing, preferably with OpenCV.
• Experience with machine learning frameworks such as TensorFlow or PyTorch.
• Proficiency in programming languages like Python and C++.
• Experience with real-time data processing and optimization.
• Familiarity with Stereolabs ZED cameras and SDK, or other comparable depth-sensing and tracking technologies.
• Knowledge of hardware integration, including PLC programming, is a plus.
• Ability to work collaboratively and communicate effectively with our team.

Preferred Software and Tools:

• OpenCV for computer vision tasks.
• TensorFlow or PyTorch for machine learning model development.
• Stereolabs ZED SDK (or equivalent) for depth sensing and spatial tracking.
• Python and C++ for development.
• SQL and NoSQL databases (e.g., MySQL, MongoDB) for data storage and management.

Deliverables:

• A fully functional real-time basketball shot tracking system capable of accurately tracking and predicting basketball trajectories during training.
• Documentation covering system design, implementation, and usage instructions.
• A final report detailing the testing process, results, and any recommendations for further improvements.

Application Requirements:

• Examples of previous projects involving computer vision, real-time processing, or similar tracking systems.
• A brief proposal outlining your approach to this project, including any suggested improvements or alternatives to using Stereolabs ZED cameras.
• Estimated timeline and budget for completing the project.

About Us:
We are an innovative company focused on revolutionizing basketball training and performance analysis through advanced technology. Our goal is to develop cutting-edge solutions that enhance the training experience and provide actionable insights for players and coaches.

To Apply:
Please submit your resume, portfolio, and a proposal outlining your approach to the project. We look forward to collaborating with you to create a state-of-the-art basketball shot tracking system.

Skills Required:

• Computer Vision
• Machine Learning
• Real-Time Processing
• OpenCV
• TensorFlow
• PyTorch
• Python
• C++
• Hardware Integration (Optional)
• PLC Programming (Optional)
• SQL
• NoSQL (MongoDB)

Category: IT & Networking / Data Science & Analytics / Engineering & Architecture

Hourly Range: $18.00-$55.00

Posted On: June 23, 2024 09:27 UTC
Category: Full Stack Development
Skills:OpenCV, TensorFlow, PyTorch, Python, C++, Computer Vision, Machine Learning, NoSQL Database

Country: Australia

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