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【What's Different Here! Contec's Raspberry Pi Solutions】 ● Independently extended HAT specifications, enabling stack connections of up to 8 units FA control and measurement control systems require numerous signal inputs and outputs. Contec has expanded the standard HAT (Hardware Attached on Top) specification, which typically allows only one connection, to support multi-tier connections. With our unique Board ID system, we enable stack connections of up to 8 units, catering to systems that require a large number of signal inputs and outputs. ● No waste of development assets, multi-platform compatibility If you want to partially replace a PC-based system with a Raspberry Pi-based one, or scale up a Raspberry Pi-based system to a PC-based one, Contec allows for migration with minimal program changes. Our integrated driver software absorbs the differences in hardware, ensuring high compatibility at the API level. 【Product Lineup】 ● RAS function expansion ● Digital input/output / Relay output ● Analog input/output ● Counter

This is an industrial computer suitable for AI inference processing equipped with the NVIDIA(R) Jetson Xavier NX(TM) module. The NVIDIA(R) Jetson Xavier NX(TM) features 384 Volta cores as a GPU and includes two NVDLA (NVIDIA Deep Learning Accelerator) units, enhancing deep learning performance. In comparisons of ResNet-50 inference execution, it can perform approximately 5.5 times faster at FP16 precision and about 21.5 times faster at INT8 precision, which is advantageous for inference execution, thereby accelerating edge inference execution for high-performance AI applications. The software environment comes pre-installed with Ubuntu, similar to the developer kit, and the JetPack SDK is available, allowing applications created with the developer kit to be executed. 【Main Features】 ● Edge AI accelerator equipped with NVIDIA(R) Jetson Xavier NX(TM) ● Two Gigabit LAN ports interconnect different network layers ● Flexible installation options ● Operating temperature range of -20 to 60°C

The DX-U1100 series is a versatile industrial edge AI computer equipped with the NVIDIA(R) Jetson Nano(TM) module, focusing on practicality. It features 2x Gigabit LAN, HDMI, 2x USB, general-purpose I/O, and RTC (real-time/calendar clock), achieving flexible installation and environmental resistance, making it suitable for practical applications with peace of mind. The software environment comes pre-installed with Ubuntu, similar to the Jetson developer kit, and the NVIDIA JetPack(TM) SDK is available, allowing you to run applications created with the developer kit. The DX-U1100 series also offers a PCI Express slot model, enabling functionality expansion with our extensive range of Low Profile PCI Express boards, such as analog input and serial communication boards. 【Key Features】: ● Edge AI accelerator equipped with NVIDIA(R) Jetson Nano(TM) ● Adoption of high-reliability, long-life components ● Two Gigabit LAN ports interconnect different network layers

Using a Raspberry Pi makes it easy to implement electronics projects linked to the internet. This document explains the process of creating a "Raspberry Pi Model Train Controller" that can be operated from a smartphone's web browser, divided into Part 1 through Part 3. It covers how to turn the model train on and off from the Raspberry Pi, easy programming with Node-RED, noise countermeasures using Contec's highly reliable I/O board, all explained with photos. Additionally, it includes software implementation, operation from the dashboard, usage instructions, and a summary of automatic control for model trains at the end. We encourage you to read it. 【Products Used】 Expansion board to add 8-point/8-point opto-isolated digital input/output to Raspberry Pi - CPI-DIO-0808L *For more details, please refer to the PDF document or feel free to contact us.

We offer free materials to help you understand the basics of vibration analysis and anomaly detection in production environments using AI. Using an edge AI computer (Jetson) and actual vibration sensors, we will explain the process from data collection, data preprocessing, and analysis using the MT method, to the creation of an anomaly detection app, while providing executable Python code. Please take a moment to read it. 【Table of Contents】 1. Overview 2. Vibration Data Collection 3. Vibration Data Preprocessing 4. Anomaly Detection (When there is a single cluster of normal states) 5. Anomaly Detection (When there are multiple clusters of normal states) 6. Creation of Anomaly Detection App 7. Conclusion 【Products Used】 Industrial Edge AI Computer DX-U1000 - Fanless Embedded PC / Equipped with NVIDIA(R) Jetson Nano(TM) / ARM Cortex-A57 / DC Power Supply *For more details, please refer to the PDF document or feel free to contact us.