Avalue Previews Edge AI Solutions for embedded world
The company will demonstrate medical panel PCs, outdoor touch displays, and privacy-protected kiosks in Anaheim.
www.avalue.com

Avalue Technology Inc. will exhibit its latest industrial and embedded computing solutions at embedded world North America in Anaheim, California, from September 22 to 24. The showcase highlights the company's integration of AI, display technologies, and edge computing across smart healthcare, transportation, and public kiosk applications.
A major highlight is the HID-2146, a new medical-grade all-in-one touch computer designed for patient rooms. It features PCIe expansion to support discrete GPUs for advanced medical imaging and AI inference. Avalue will also demonstrate the Genicart medical cart, which utilizes an independent battery system to power mobile point-of-care tasks. For public environments, Avalue and its subsidiary ChampVision Display will present a 1,500-nit, IP65-rated high-brightness outdoor touch screen, alongside an all-in-one computer equipped with a privacy module that restricts viewing angles to prevent visual hacking at ATMs and self-service terminals.
The company's diverse portfolio will also feature railway-certified, bar-type displays designed for space-constrained transit environments to show real-time arrival data. Furthermore, Avalue will display ARM-based motherboards supporting the ccTalk protocol, enabling seamless integration with payment peripherals for the North American retail, vending, and gaming markets.
Additional Context
This section provides technological and market background not explicitly detailed in the original release.
As artificial intelligence moves from centralized data centers to the network edge, specialized hardware is required to handle intensive workloads in strictly regulated or harsh environments. In healthcare, integrating discrete GPUs (such as the NVIDIA T400E) directly into medical panel PCs like the HID-2146 allows hospitals to process high-resolution diagnostic imaging (such as ultrasound or endoscopy) and run AI nursing assistants locally. This edge AI approach minimizes latency and ensures sensitive patient data does not leave the clinical environment. Meanwhile, the integration of hardware-level privacy filters in public kiosks addresses the growing risk of "visual hacking" (shoulder surfing), which is critical as self-service terminals handle increasingly sensitive financial data. For the retail and gaming sectors, native motherboard support for ccTalk—a specialized, secure serial protocol used globally for coin and bill acceptors—eliminates the need for third-party adapters, streamlining the engineering of automated payment systems.
Edited by Lekshman Ramdas, Induportals editor – adapted by AI.
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