SENSING Launches Ultra-Compact High-Reliability GMSL Capture Box: Palm-Sized Imaging Solution
As AI transformation sweeps across industries, high-precision and reliable image capture has become the critical "eyes" of intelligent systems. Yet traditional solutions often suffer from bulky size, complex deployment, and compatibility issues – especially for specialized equipment like automotive GMSL cameras that require intricate cabling and capture cards, stifling innovation.
Breaking Boundaries with Miniaturized Excellence SENSING introduces the PANDA Serial PG2, a rugged ultra-compact GMSL capture box delivering:
✓ Lossless GMSL-to-USB3.0 conversion
✓ Industrial-grade reliability in 45×64×23mm (62% smaller than gen1)
✓ Zero-compromise 1080P@60fps YUV/RAW streaming
Automotive-Grade Connectivity Redefined
Featuring reinforced USB3.0 connectors certified to vehicle vibration standards (ISO 16750), the PG2 maintains 99.99% connection stability under harsh conditions – solving chronic contact failures in robotics/ADAS testing where conventional ports falter.
Pocket-Sized Powerhouse
The 62% volume reduction belies its capabilities:
<1ms latency for embodied AI real-time response
Uncompressed data pipeline preserving original image fidelity
Dual-mode power delivery (12V DC or bus-powered via USB3.0)
Plug-and-Play Agility
With native UVC compliance, the PG2 works driver-free across Windows/Linux. Its coaxial-to-USB direct link eliminates traditional capture cards, cutting deployment time by 70% for lab/field setups.
Smart Imaging, Evolving
Exclusive to SENSING cameras:
In-field firmware upgrades for adaptive imaging profiles
Scene-optimized processing (low-light/HDRI/high-speed)
Multi-camera sync for 360° data harvesting
Cross-Industry Enablement
▸ Embodied Intelligence: Sub-5ms visual feedback loops
▸ Mobile Labs: Synchronized multi-camera recording
▸ Research: Lab-ready with zero configuration
The Future in Focus
By condensing pro-grade capture into a palm-sized device, the PANDA PG2 shatters legacy constraints. SENSING continues to pioneer AI perception infrastructure, pushing the boundaries of what machines can see.
