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- Qualifications:BEng in Robotics; PhD in Computer Vision and Machine Learning
- Position:Research Fellow
- Department:College of Arts, Technology and Environment
- Telephone:+441179656261
- Email:Gytis.Bernotas@uwe.ac.uk
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About me
After completing his BEng (Hons) Robotics, Gytis completed a PhD at UWE in 2019 titled "3D plant phenotyping system using photometric stereo" (PS-Plant system) and now work as a Research Fellow in Computer Vision and Machine Learning in the Centre for Machine Vision on a wide range of projects, mainly in the agri-tech area.
Example of current or recently completed projects:
- EUPAHW: HoliWell - Towards a Holistic Assessment of Animal Welfare using Emotion and Deep Learning
- UKRI: Towards Recognition of Animal Emotion for Welfare Monitoring using Deep Affective AI Models
- BBSRC: Pig ID: developing a deep learning vision system to track pigs using individual biometrics
- InnovateUK: Mealworm protein for animal feed: Automating and optimising production
- InnovateUK KTP - HerdVision - 3D imaging tool for automated dairy cattle health assessment
- Belron: Vision based solutions for ADAS camera calibration in windscreen replacement
More details of my work can be found on my portfolio.
I currently supervise a PhD student working within the defence sector in collaboration with Leonardo UK.
Area of expertise
2D/3D Imaging; Agri‑tech; Animal Analysis; Animal Behaviour; Applied Computer Vision; Computer Vision; Deep Learning; Eye Tracking; Insect Imaging; Livestock Analysis; Machine Learning; Plant Phenotyping; Spectral Imaging; Thermal Imaging; Vision‑based Monitoring
Publications
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