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What to expect:
As an intern, you will be part of a team focused on the development and implementation of advanced data analysis and processing algorithms to predict drowsiness and fatigue situations in users, based on physiological and biometric factors.
Main responsibilities:
Physiological and Biometric Analysis: Investigate and analyze physiological and biometric factors that contribute to the detection of drowsiness and fatigue, and propose and validate relevant metrics for the evaluation of drowsiness from biometric and video data.
Algorithm Development and Evaluation: Research, develop, and optimize image processing and deep learning algorithms for the detection and classification of faces and eyes using industrial libraries such as OpenCV, TensorFlow, PyTorch, Caffe, and MXNet; and develop algorithms for the analysis of video sequences that allow determining the rate and duration of blinking.
Software Development: Design and develop a software application on Linux that allows cyclical capture of images in real time, detection and classification of eyes, analysis of video sequences, and historical storage of results; and design the software architecture that encapsulates the stages and functionalities described, ensuring optimal performance and easy integration with other systems.
Interface and Visualization: Design and develop output interfaces that allow viewing the captured image with the processing results and relevant statistical values superimposed on the image, including notifications of possible drowsiness or fatigue.
Hardware Integration: Analyze and propose the integration of different hardware sensors for the acquisition of additional relevant information, complementing the biometric information processed by the system.
Exploration of Additional Applications: Explore and propose additional applications of the developed technology in other areas that require high precision or operator attention, such as biomedical applications or digital marketing.
Collaboration and Reporting: Collaborate closely with other technical and functional teams to ensure the correct implementation and deployment of the developed solutions; and document and report project progress, including the preparation of technical reports and presentations for stakeholders.
What you bring along:
Studying Degree in Computer Science, Software Engineering, or related field.
Possibility of signing an internship agreement with a university or study center.
High level of English.
Familiarity with image processing and deep learning libraries such as OpenCV, TensorFlow, PyTorch, among others, will be highly valued.
Ability to work independently and in a team, with a proactive and problem-solving approach.
Curious and self-taught person willing to take on technical challenges.
What we offer:
Flexible working hours.
Supervision of a final project/thesis.
Public transport connections.
Training on-the-job.
Option for a career start.
Team-oriented work.
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