Autonomous Vision Systems Architect

4 weeks ago


Hyderabad, Telangana, India Alphadroid Full time

Alphadroid is seeking an Autonomous Vision Systems Architect to develop cutting-edge vision technology for autonomous systems in commercial projects.

As a key member of our team, you will be responsible for designing and developing robust and precise vision solutions for object detection, tracking, and manipulation. Your primary focus will be on creating advanced vision systems that integrate seamlessly with Autonomous Mobile Robots (AMRs) and collaborative robots (cobots).

Key Responsibilities:

* Develop and implement vision algorithms for object detection, localization, and classification using tools like OpenCV, TensorFlow, or YOLO.

* Utilize 3D vision systems (e.g., Intel RealSense) to enable depth sensing and real-time decision-making.

* Develop vision modules for position and orientation verification using fiducial markers such as AprilTags, AR Markers, QR Codes, ChArUco Markers, ArUco Markers, ReacTIVision Markers, Data Matrix Codes, and Fiducial Markers in Vicon Systems.

* Implement real-time feedback loops to ensure precision in cobot operations based on vision data.

* Optimize vision-based object identification for autonomous tasks like picking, placing, and stacking.

* Collaborate with the robotics team to ensure accurate coordination between the vision system and robotic control units.

* Perform continuous system diagnostics and real-time adjustments to enhance vision system performance.

* Ensure seamless integration of vision systems with robot navigation (SLAM, pathfinding) for autonomous operation in dynamic environments.

* Provide training and create documentation on the vision systems to ensure proper usage and future scalability.

Skills and Qualifications:

* Bachelor's or Master's Degree in Computer Science, Electrical Engineering, Robotics, or a related field.

* Proven experience in vision system development for robotics or autonomous systems.

* Proficiency in image processing and computer vision frameworks (OpenCV, TensorFlow, YOLO).

* Expertise in using 3D vision systems and depth-sensing cameras (e.g., Intel RealSense, LiDAR).

* Strong knowledge of positioning algorithms using fiducial markers and real-time object tracking.

* Experience with sensor fusion for vision-based positioning and orientation.

* Ability to develop and optimize feedback loops that adjust robot movements based on vision input.

* Strong debugging and troubleshooting skills, especially for real-time vision systems.

* Ability to work collaboratively in a multidisciplinary team and adapt to fast-paced development cycles.

Estimated Salary: $140,000 - $170,000 per year.



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