E-Mobility & Charging Infrastructure

• Current Sensor in SMD package for 100Arms

• Current Sensor in SMD package for 100Arms

• Current sensor in SMD housing with 60Arms

• Concept: High-performance Arm® Cortex®-M4F microcontroller for embedded designs focused on real-time control, communications, and energy-efficient processing
• Configuration: Up to 192 MHz, DSP extension, 256 KB Flash, 128 KB SRAM, up to 3× CAN 2.0B, 2× 12-bit 5 MSPS ADC, USB Full-Speed OTG, and camera interface
• Use case: Suitable for motor control, industrial control, battery management system, EV charging, and embedded systems with high communication and analog density
• Development focus: Combination of fast signal processing, robust communication integration, and embedded security for production-oriented industrial and power designs
• Design note: Align ADC/PWM architecture, CAN topology, security concept, and power design with the target application early in development

• Concept: Evaluation and prototyping board for embedded designs based on the NuMicro M463 series with integrated debugging and programming support
• Configuration: Target board with M463KGCAE, on-board Nu-Link2-Me, Arduino UNO compatible headers, extension connectors, and multiple power supply options
• Use case: Suitable for evaluation, prototyping, and validation of IoT, industrial, and embedded control applications based on Cortex-M4
• Development focus: Fast project start with direct debugging, programming, peripheral integration, and power-consumption monitoring on one compact development platform
• Design note: Align header usage, power concept, debug access, and attached shield or peripheral topology with the target application early in development

Manufacturer: NuvotonMPN: NuMaker-GestureAI-M55M1

• Concept: AI microcontroller and evaluation platform for endpoint AI applications focused on recognition, audio, and sensor fusion
• Configuration: Based on NuMicro M55M1 with Arm® Cortex®-M55 up to 220 MHz, Arm Ethos™-U55 NPU, up to 110 GOPS, Helium, DSP extensions, and double-precision FPU
• Use case: Suitable for human presence detection, robotics, smart toys, sensor hubs, smart appliances, PC accessories, and AIoT designs
• Development focus: Local AI acceleration, fast signal evaluation, and practical development for audio, communications, DSP, machine learning, and embedded vision workflows
• Design note: Align memory requirements, camera path, audio front end, low-power operation, and security architecture with the target application before release

• Concept: Evaluation and prototyping board for embedded designs based on the M483 platform with integrated debugging and programming support
• Configuration: M483 platform with on-board Nu-Link2-Me, Arduino UNO compatible extension connectors, full-pin expansion, and ammeter connector for power monitoring
• Use case: Suitable for evaluation, prototyping, and validation of embedded, industrial, and communications applications based on Cortex-M4
• Development focus: Fast project start with direct SWD debugging, programming, VCOM output, and product-oriented power analysis on one compact platform
• Design note: Align header usage, power architecture, debug access, and attached shield or peripheral topology with the target application early in development

• Arm Cortex M0 MCU for Automotive  incl. AECQ100

• Outdoor 4G router with LTE Cat 4 and fallback to 3G and 2G for external installations.
• Dual SIM with automatic SIM switching for flexible carrier and failover scenarios.
• 1x PoE In and 1x PoE Out for combined power and data delivery over Ethernet.
• IP55-rated enclosure with integrated antenna design for robust outdoor deployment.
• 2x 10/100 Mbps Ethernet ports, with configurable WAN usage.
• RutOS with VPN, firewall, VLAN, RMS, and support for industrial and IoT protocols.

• Support 1.7 TOPS AI performance, 6 channels FHD video decoding
• Rich interfaces, support Gbits ethernet, 4G, and Wi-Fi networks
• Fanless design, support indoor/outdoor deployment
• Support Linux or Android operating system
• End-to-end security mechanism to ensure device security
• Device-edge-cloud synergy

• Support 1.7 TOPS AI performance, 6 channels FHD video decoding
• Rich interfaces, support Gbits ethernet, 4G, and Wi-Fi networks
• Fanless design, support indoor/outdoor deployment
• Support Linux or Android operating system
• End-to-end security mechanism to ensure device security
• Device-edge-cloud synergy

• Development kit based on the Thundercomm TurboX I615 platform
• Designed for edge AI and embedded vision applications
• Rich set of interfaces for cameras, sensors and peripherals
• Enables fast prototyping and evaluation
• Supports modern Linux and Android software stacks
• Suitable for industrial, robotic and smart device designs