Empowering innovation with embedded solutions to get your product to market faster.

Beacon EmbeddedWorks, a Compass Electronics Group company, is now an officially listed High Definition Media Interface (HDMI™) adopter. As an HDMI™ adopter, we expand our SOMs’ display and peripheral capabilities to include HDMI™ integration for our embedded solutions.

When Original Equipment Manufacturers (OEMs) launch a new device, success does not hinge solely on the merit of the idea. Similarly, a memorable design may support differentiation, but is hardly sufficient to secure a high adoption rate. Ultimately, the market accepts or rejects new products contingent upon their functionality. Above all else, consumers expect devices to be capable of executing functions associated with intended use.

When Original Equipment Manufacturers (OEMs) launch a new device, success does not hinge solely on the merit of the idea. Similarly, a memorable design may support differentiation, but is hardly sufficient to secure a high adoption rate. Ultimately, the market accepts or rejects new products contingent upon their functionality. Above all else, consumers expect devices to be capable of executing functions associated with intended use.

Beacon EmbeddedWorks announces its new line of versatile RZ/G2 SOMs. As a Renesas Alliance Partner, Beacon EmbeddedWorks’ RZ/G2 SOMs are the first available solution based on the Renesas RZ/ G2N, RZ/G2M, and RZ/G2H SoCs. The flexible RZ/G2 SOM series delivers the latest in connectivity and multimedia capabilities, with unrivaled security and support. The SOM series is configurable for architectures ranging from dual-core to octa-core depending on customer needs. Packed with multimedia capabilities, the RZ/G2 series is designed to support a cutting-edge user- interface. With up to seven video signal processors and a PowerVR 3D Graphics Engine (EDGE), the RZ/G2 series of SOMs are perfectly suited for high-performance multimedia applications including 3D graphics and high-definition video.

The rising prominence of artificial intelligence (AI) has challenged developers to create devices that are increasingly capable of understanding and responding to information in real time. What separates AI from your standard processing applications is the ability to think, learn from experience, and operate with minimal human intervention. The complex systems and massive quantities of data necessary to implement AI effectively often require the implementation of a network of devices working in tandem to collect, interpret, and respond to information.