Computer Vision
Implementation of artificial vision applications based on both classical techniques and techniques that use deep learning. Development of systems to solve different types of tasks such as:
- Object detection and tracking.
- Estimation and monitoring of the human pose.
- Acknowledgment of actions.
- Alignment, detection and facial attributes.
- Generation and detection of deep fakes.
- AR solutions based on the detection of human or facial poses.
- Key point detectors.
- Post-production visual effects based on facial detection.
Data analytics and big Data
Extraction, processing and analysis of all data sets available to the entity. Data analytics generates knowledge about everything that happens in each department, allowing the best strategy to be chosen for each problem that is detected and optimizing decision-making and operation in each of the areas in which it is carried out.
- Big data consultant.
- Infrastructure and data engineering.
- Data visualization.
Optimization and deployment
Optimization of models based on deep learning for implementation on mobile or low-performance devices. Model compression and quantization techniques are used with the aim of being able to reduce both the size of the network and the latency during inference without significant reductions in accuracy.