We’ve been witnessing since early 2013 the exponential growth and popularity of electric passenger vehicles and to this day this trend does not show signs of slowing down as EV sales, government EV subsidies and manufacturers’ pledges for reducing carbon footprint, all point towards a gradual but inevitable EOL of almost all internal combustion engine (ICE) vehicles.
Electric vehicles’ record-breaking YOY sales growth and the acceleration of both global and local environmental protection initiatives and/or incentivize are also paving way for the installations of charging stations.
Requirements for all outdoor EV charging stations are as followed:
- Open Charge Point Protocol (OCPP) compliance
- 24/7/365 operability in indoor/outdoor settings with unpredictable weather conditions and temperatures
- Connectivity flexibility with peripherals such as sensors, card readers, cameras, HMI
- Support for high luminance displays
- Communication in real-time for data analytics and troubleshooting/management
- Compact size, fanless design and generous I/O ports
Lanner’s LEC-7242H is a GPU intelligent edge AI computing appliance with 1x M.2 B+M Key Hailo-8™ AI module pre-installed. This wireless gateway with FCC/CE/PTCRB certification for LTE or Wifi is designed for IoT/IIoT edge, wireless security and multi-site management solution deployment in commercial, enterprise and public sector applications.
Having received the PTCRB certification for wireless communications, the LEC-7242H fulfills communication service providers’ demand for interoperability and cellular network standards, making it the ideal 4G/LTE wireless communication solution for mobile communication markets found in regions that require such credential. In addition to the PTCRB certification, the LEC-7242 is also CE/FCC certified.
The 168 x 40 x 145 mm form factor makes it a portable and ideal for almost all deployment scenarios, and its x86 open architecture enables flexibility for carrying out various software and virtual network functions.
The LEC-7242H is one of Lanner’s Hailo-powered edge AI appliances capable of processing multiple video streams in real-time on a single device while securely transmitting curated data and insights with robust onboard network connectivity.
These cost-effective edge AI hardware solutions offer the highest AI performance and lowest power consumption, making them perfect for enabling AI computing for mission-critical applications, such as traffic management, video analytic and autonomous vehicle.
The LEC-7242H (SKU C & D) supports -20°C to 70°C operating temperatures, eliminating overheating and/or other temperature-related environmental degradation. What’s more, the LEC-7242H’s fanless and relatively compact design require little space but provides adequate I/O such as 2x Ethernet ports, 1x RS232/422/485 COM port, 2x USB 3.0, 1x display port, 1x HDMI and finally 1x M.2 3042 B+M Key socket w/ dual SIM and 1x mini PCIe socket w/ dual SIM for peripherals and 4G/LTE/WiFi connectivities over OCPP protocol.
The pre-installed Hailo-8™ AI module offers support for 4, 5 Or 6 Hailo-8™ AI processors, delivering up to 156 TOPS 8000FPS of ResNet-50 and compatibility with Hailo-8 software development tools; these features together provide optimized AI inference calculation and enable CPU offloading for digital signage, physical security, facial/license recognition and NFC payment while leaving all available processing power for executing the rest of the application program and for running the operating system.
The LEC-7242H’s compatibility Open Charge Point Protocol (OCPP) ensures seamless communication between charging and managing stations as it eliminates hurdles that might have resulted from having to integrate hardware/software from different vendors, not only partially removing the EV market barriers but also spurring healthy competitions and innovations while at the same time increasing service quality and lowering prices for end users.
Industrial wireless gateway with Intel® Apollo Lake CPU and FCC/CE/PTCRB certification for LTE or Wifi.
|CPU||Intel Celeron N3350 (Apollo Lake)|