Computer Vision Engineer - Medical Sector
Thryve
Ansprechpartner: Kacper Prejs
Paris, Frankreich
Beschreibung
Role objective
Improve an application’s image capture and processing capabilities, assess whether reliable analysis can be achieved without a photobooth, and validate performance across a wider range of smartphones beyond the currently supported smartphone model.
Key responsibilities
- Assess the current image capture workflow and identify the factors that make the photobooth necessary.
- Develop and evaluate methods to reduce reliance on the photobooth, addressing variations in lighting, shadows, reflections, camera angle, distance, focus, and image distortion.
- Implement automated image quality checks and user guidance to help users capture suitable images and retake unsuitable ones.
- Identify all the smartphone components that can have an impact on the application’s performance and safety.
- Define minimum smartphone and camera requirements, including resolution, autofocus, operating system compatibility, and processing capacity.
- Design a validation matrix covering different phone manufacturers, models, camera specifications, and operating conditions.
- Build representative image datasets and test protocols to assess accuracy, repeatability, robustness, and processing time across devices.
- Define acceptance criteria with microbiology and quality teams, and document supported devices, limitations, and recommended capture conditions.
Candidate profile
- Experience in computer vision, image processing, and camera-based measurement.
- Strong programming skills in Python and relevant libraries such as OpenCV; experience integrating algorithms into mobile applications.
- Knowledge of camera calibration, perspective correction, illumination correction, segmentation, and image quality assessment.
- Knowledge of smartphone camera hardware and imaging pipelines, including sensor and lens characteristics, autofocus, exposure control, white balance, HDR, image compression, and manufacturer-specific image processing that may affect measurement accuracy.
- Experience designing reproducible experiments and validating performance across different devices.
- Experience with medical imaging, diagnostic tools, or microbiology applications would be an advantage.
Expected deliverables
- A feasibility assessment and prototype for image capture without a photobooth.
- A documented smartphone compatibility test plan and validation report.
- Evidence-based minimum device specifications and recommendations for broader deployment.
Languages:
- Fluent English
- Strong writing and communication for documentation and multidisciplinary teamwork
- Analytical thinking and research aptitude
- Having knowledge and interest in the following topics is a plus (not mandatory): medical devices, humanitarian innovation, limited resource settings.