Computer Vision Engineer in the development of an object classification pipeline

• Collect data for the pipeline
• Develop an algorithm for sequence comparasion and visualization

Computer Vision intern in the development of an object classification pipeline

• Develop an algorithm to detect objects in an image using different methos: Yolov5, Faster-R-CNN, SAM and GroudingDino. Evaluating the results of each method and selecting the best.
• Filter the results of the previous detection using geometrical methods.
• Desing an algoritm to sort the results and send them to the main pipeline.

Help with the continuous investigation.

• Learn about computer vision systems of object recognition using OpenCV and YOLOV
• Implementation of neuronal networks with Tensorflow 2.0 for action recognition using LSTMs
• Integrate systems using ROS

• Give assistance to customers with: License problems, activation and installation issues by call or email. Solving an average of 4 cases per week.
• Help customers with LabVIEW code errors and Circuit Design issues, by checking their code and analyze the posible cause of the errors they got, and explain to them how to design the code they need.
• Solve instrument control issues: connecting errors and programming errors using NI MAX and NI VISA for NI controllers.

Robotics team that participate in national and international competitions.

• Design a circuit and PCB for change the system of a mechanical pallet truck to an autonomous pallet truck using EasyEda.
• Installation of controller for brushless motor in an autonomous pallet truck.
• Design of PCBs used in @Home competition for the robot arm controller, using step motors drivers for controlling the joints of the arm and servo motors for controlling the gripper
• Design the power and security PCB, used to give power to all electronics components and a security button to stop the system in case of any emergency.
• Participate in @Home competition in 2021, 2022 and 2023