The project’s overall aim is to design, implement and validate an image capture and analysis system that automatically monitors the larval development of Hermetia illucens in controlled rearing environments, as a preliminary step towards the advanced digitalisation of the production process. Specifically, a dedicated hardware prototype has been designed and built, based on a capture station installed in the company’s rearing chambers. A software pipeline has also been developed, combining computer vision and deep learning techniques to detect larvae, estimate morphological metrics and analyse associated environmental data.