For decentralized preprocessing of image data in embedded vision projects with MIPI camera modules, Vision Components has developed an FPGA-based accelerator with multiple MIPI CSI-2 inputs and outputs. The board can combine data from multiple MIPI cameras and masters complex algorithms and computational operations thanks to a freely programmable FPGA. The accelerator will initially be available in early 2022 with a completely open FPGA for customer programming and with demo applications. In the next step, a custom FPGA design for specific applications such as color conversion, 1D barcode identification, epipolar correction, etc. is planned. The use of the electronics for AI acceleration is also envisioned.
The Vial Scanner by Schäfter+Kirchhoff (www.sukhamburg.com) was developped for the in-situ imaging of Drosophila pupae and for automated measurement of their size.