🚀 Webinar: First Step to AI—Setting Up & Operating MLiS Entry-Level Edge AI Starter Kits (MLB-EmCore3568 & MLB-EmComG2UL)
Are you ready to bring Artificial Intelligence to the industrial edge but don't know where to start? MLiS is excited to announce an upcoming Webinar in Q1 2026 dedicated to helping you bridge the gap between hardware specifications and real-world deployment.
In this technical session, we will move beyond the basic unboxing to provide a comprehensive walkthrough of the initial configuration and functional testing for our two powerhouse entry-level kits: the MLB-EmCore3568 and the MLB-EmComG2UL.

📦 The Engines of Your AI Deployment

✅ MLB-EmCore3568: AI-Enabled Edge Processing Hub

• Powered by the Rockchip RK3568 quad-core Cortex-A55 processor (up to 2.0 GHz).
• Integrates a 1.0 TOPS NPU to support entry-level AI inference using TensorFlow, PyTorch, and ONNX frameworks.
• Versatile display and communication interfaces, including Dual Gigabit Ethernet, HDMI, USB 3.0, and CAN-Bus.

• Based on the high-stability Renesas RZ/G2UL platform (Cortex-A55 + Cortex-M33).
• Optimized for diverse connectivity with dual Gigabit Ethernet, 4-port RS-485, and integrated Wi-Fi/4G LTE CAT1 modules.
• Built for reliability in harsh conditions with an industrial-grade operating temperature range from -40°C to +85°C.

1. System Initialization: Connecting to the Type-C Debug Port and establishing a serial console link at a 115200 baud rate.
2. Industrial Network Setup: Configuring network interfaces for static or dynamic IP allocation to ensure seamless integration into your existing infrastructure.
3. Hardware & Peripheral Verification: Running essential health checks, including Watchdog monitoring and Buzzer testing.
4. I/O and Communication Performance: Demonstrating data transmission through multiple RS-485/RS-232 ports and testing digital inputs/outputs (DI/DO) for industrial automation.