Industrial IoT Gateway With CAN Bus Port Compatible With Windows 10 IoT And Linux Operating Systems
Axiomtek, a design and manufacturing company in the industrial computer and embedded field, announced its ICO320-83C, a fanless DIN-rail embedded system with four RJ-45 Gigabit PoE ports for facility monitoring systems, IP video surveillance, Access Point, and intercoms.
It represents an industrial IoT gateway that comes with IP40-rated heavy-duty aluminum extrusion and steel enclosure for application in harsh environments.
It functions under temperatures ranging from -40°C to 70°C and withstands vibration up to 2G. It is powered by the Intel Celeron processor N3350 or Pentium processor N4200 and has one DDR4-2133 SO-DIMM for up to 8 GB of system memory.
The ICO320-83C allows expandability and I/O, including four RJ-45 Gigabit PoE ports or four RJ-45 LAN ports, two RS-232/422/485 ports, two USB 3.0 port, one VGA port, one CANbus 2.0 A/B port, and one 8-bit programmable DIO. It also offers one full-size PCI Express Mini Card slot (USB/PCIe) and one half-size PCI Express Mini Card slot (mSATA/USB/PCIe) for wireless modules.
It comes with a SATA drive and a half-size mSATA shared with PCI Express Mini Card slot for storage. The system is supported by Windows 10 IoT and Linux operating systems. To meet the demand for remote monitoring at the factory, the ICO320-83C supports Axiomtek’s exclusive AMS.AXView software. This DIN-rail embedded system is certified with EN60950, CE, and FCC. It offers an RTC (real-time clock) battery backup onboard, and it supports a 12 VDC to 24 VDC power input with various power protections, including OVP, UVP, OCP, and RVP.
- Cost-effective with fanless and cableless design
- Intel® Celeron® processor N3350
- 4 RJ-45 Gigabit PoE ports
- 8-bit programmable DIO for IoT gateway applications
- Wide operating temperature range from -40°C to +70°C
- 12 to 24 VDC wide range power input
- OVP, UVP, OCP, RVP power protection
- AXView 2.0 intelligent remote monitoring software for IIoT
This book is intended to introduce readers to IoT with the Raspberry Pi 3. It helps to create exciting projects, such as setting up a weather station and measuring temperature and humidity using sensors; it will also demonstrate how to send sensor data to the cloud for visualization in real-time.
Then the focus shifts to leveraging IoT for accomplishing difficult tasks, such as facial recognition using the Raspberry Pi camera module, AWS Rekognition, and the AWS S3 service. Furthermore, the reader will master security aspects by creating a security surveillance system to protect premises from intruders using the Raspberry Pi in combination with a camera, motion sensors, and the AWS Cloud. We'll also create a real-world project by building a Wi-Fi–controlled robotic car with the Raspberry Pi using a motor driver circuit, DC motor, and a web application.