The VisionChina Beijing 2025 machine vision exhibition concluded successfully, with Pleora Technologies showcasing innovative new offerings at its featured Custom Booth. In collaboration with Uste (partner company), the demonstration attracted substantial attention from industry partners who engaged in technical exchanges and live solution evaluations during the event.
Exhibition Highlights
Pleora Technologies addressed critical bandwidth and CPU limitations faced by equipment designers, system manufacturers, and integrators through its innovative GEV-Thunderbolt™ external frame grabber. This solution enables standards-compliant conversion of any imaging device into a GigE Vision™ and GenICam™-compatible system.
At the exhibition, Pleora showcased demonstrable advantages in em bedded imaging and sensor technologies, significantly enhancing operational efficiency and data processing capabilities through optimized bandwidth utilization and computational resource management. The GEV-to-Thunderbolt™ conversion technology presented represents a paradigm-shifting approach in image acquisition and transmission, offering a high-performance alternative for vision system integration.
Pleora External Frame Grabbers and em bedded Video Interface Solutions
Pleora Technologies' GEV-TB external frame grabber facilitates deployment of em bedded computing platforms and laptops in high-bandwidth imaging applications by simplifying connectivity and optimizing CPU utilization. This solution functionally converts GigE Vision™ cameras into PCIe-compatible devices, transmitting high-bandwidth imaging/video data (up to 22.5 Gbps) through standard Cat5e/Cat6A Ethernet cables to Thunderbolt™/USB4 or Thunderbolt™ 3/4 (USB-C™) interfaces with predictable low-latency performance.
By eliminating dependencies on desktop computers and available PCIe slots traditionally required for frame grabbers, designers can implement compact, low-power systems using laptops, em bedded computers, or single-board computers. This approach concurrently reduces system footprint, overall costs, and power consumption while maintaining imaging performance integrity.
