The MediaTek Genio 360/360P are 6nm IoT processors designed for embedded applications, combining CPU performance with energy efficiency. They integrate an advanced MediaTek NPU that delivers over 8 TOPS of AI performance, enabling on-device AI and generative AI at the edge.
With support for 4K displays, camera interfaces, and extensive industrial connectivity, the SOM-Trizeps-X-Genio360/360P is targeted at advanced HMIs, mobile and wearable devices, smart appliances, and AI-enabled edge systems.
Based on this platform, the SOM inherits the main strengths of the SECO Trizeps SODIMM family, designed for cost-sensitive industrial systems:
Compact form factor: 67.6 mm × 36.7 mm
Robust and low-cost SODIMM connector
High level of long-term pin and software compatibility
Typical power consumption less than 5 W
Industrial temperature range: –40°C to +85°C (industrial version)
Modular Vision Genio700: Industrial HMI with AI in 10” and 15.6” Form Factors.
Modular Vision is SECO’s line of modular HMIs designed to simplify the implementation of industrial human-machine interfaces with AI. Based on a scalable hardware architecture and powered by Clea OS, it combines high-performance computing, advanced graphics, and secure lifecycle management in a ready-to-integrate platform.
Within the portfolio, the Modular Vision 15.6 Genio700 stands out as a high-performance HMI designed for medical and AI-powered smart applications. Based on the MediaTek Genio 700, it integrates advanced multimedia and AI acceleration capabilities into a 15.6” industrial HMI, enabling local inference without cloud dependency.
SECO also offers Modular Vision solutions based on the MediaTek Genio 510, optimized for applications that require energy efficiency and balanced performance.
SECO's MediaTek-based Edge AI Software Stack:
SECO's MediaTek-based solutions feature a unified software stack that accelerates Edge AI adoption. This stack combines ready-to-deploy applications from the SECO Application Hub with centralized development resources in the SECO Developer Centre.
The end-to-end AI deployment pipeline integrates model optimization, secure deployment, and lifecycle management using the Clea framework. This enables models to run locally on MediaTek platforms with low-latency inference, while updates and monitoring are managed centrally.
