This application note introduces Gidel’s CamSim camera simulator and how it addresses challenges faced by vision system developers with four use case examples.
This application note introduces Gidel’s CamSim camera simulator and how it addresses challenges faced by vision system developers with four use case examples.
Reuven Weintraub, founder and CTO of Gidel, presented Gidel’s solutions to perform high-bandwidth imaging on the edge using Gidel’s frame grabber technology, FantoVision edge computers and Quality+ lossless image compression.
Edge computing is gaining ground in the vision industry. However, it is struggling with bandwidth and latency limitations when it comes to high-resolution, high-speeda and/or complex multi-camera systems. This presentation explores the bandwidth bottlenecks and technical challenges and investigates technical solutions to implement high-bandwidth, low-latency imaging with AI processing on the edge.
Advanced vision systems rely on one or multiple high-resolution, high-speed cameras. These capture and deliver multiple gigapixels per second that need to be processed and/or compressed in real-time. While camera sensor technology and supporting interfaces are quicky evolving, traditional PCIe/CPU/GPU-based PC-architectures are lacking the required performance to capture, process, and store images at such data […]
As today’s cameras deliver higher resolutions and frame rates and new systems architectures such as vision on the edge have bandwidth limitations, compression becomes a key challenge for advanced image processing applications. But how can the data throughput be reduced without jeopardizing the image and inspection quality?