Computer Vision Developer Needed | Eye Tracking, Gaze Estimation & 3D Calibration

We are looking for an experienced Python computer vision developer to help with an application we are currently working on. The application is already functional, but we need assistance improving tracking accuracy, camera integration, and 3D calibration. The main areas we need help with include: • Improving eye and pupil detection, gaze estimation, and head pose tracking. • Integrating infrared and global shutter USB cameras into our existing Python application. • Improving tracking stability, accuracy, and performance under different lighting conditions and natural head movements. • Implementing 3D spatial calibration to accurately determine where a person is looking within a physical workspace. • Converting gaze and head tracking data into accurate screen or spatial coordinates. • Reducing tracking errors, jitter, and calibration drift during real-time operation. • Working with our existing Windows application and codebase rather than developing a new application. Required experience: • Strong Python and OpenCV experience. • Previous hands-on experience with eye tracking, pupil detection, or gaze estimation. • Experience integrating USB cameras, infrared cameras, or global shutter cameras. • Understanding of camera calibration, coordinate transformations, and 3D geometry. • Experience optimizing real-time computer vision applications. Experience with depth cameras, facial landmarks, and multi-camera calibration would be a plus. We are looking for someone who can start immediately and dedicate approximately 20 to 30 hours per week over the next 4 to 6 weeks. Please share examples of relevant projects you have personally worked on, particularly anything involving eye tracking, gaze estimation, or camera calibration. We would also appreciate a brief explanation of your specific contributions to those projects. We are open to working with developers internationally. Our priority is finding someone with relevant hands-on experience who can work efficiently with an existing application.