Protostar Vision Box – from idea to solving industry problems
Welcome to the introduction to what will be a 5 *(-ish)* part series of blog posts regarding the Protostar Vision Box. This is a solution for visual inspection of various goods, powered by AI for near perfect defect detection.
Deep Learning on FPGA: From Model Training to Inference
The integration of Deep Learning models with FPGA (Field-Programmable Gate Array) platforms, like PYNQ Z2, offers advantages such as adaptability and performance. This article explores the technical steps of this integration, from the initial model training phase to achieving high inference speeds on the FPGA. This is a representation of a full workflow in FPGA terms.
Our attendance of ESA NCCES Conference 2023
Last month, we had the opportunity of attending the invite-only ESA NCCES (New capabilities and countries in European Space) Conference, where various organizations and enterprises in the space technology sector gathered.
Quality inspection of electric motors right on the factory floor (using YOLO)!
Industrial quality inspection of products is necessary to ensure that possibly defective products are recognized early in the production process, which reduces costs and avoids product recalls.
Automatic Image Segmentation in Unreal Engine 4
Complete solution for neural network dataset generation, automatic and random camera and object movement, segmented images, and python scripts for export to COCO dataset format.
Data augmentation for improved and more robust computer vision models
Recently we developed a data augmentation solution for a client who uses Data Matrix Code (DMC) for product identification. DMC is a 2D code that is similar to ubiquitous Quick Response (QR) code, but has some advantages for product marking because it can encode more characters within the same space and is therefore better suited when the location of the code is limited in size.