Product | EverFocus Proposes a Smart Logistics Solution with NVIDIA® Jetson AGX Orin™: eNVP-JAO-AI-V0008
Press
2022/10/26
Taipei, Taiwan, October 26, 2022 - EverFocus Electronics Corporation (TWSE: 5484), the leading provider of edge AI solutions for smart city and transportation, officially releases eNVP-JAO-AI-V0008, a fanless computing system empowered by NVIDIA® Jetson AGX Orin™ and deep learning accelerators. Embedded with NVIDIA’s latest platform that supports above NVIDIA JetPack™ 5.0 SDK, eNVP-JAO-AI-V0008 fosters the development of AI-assisted operations across industries. With its diverse I/O interfaces and server-level AI inferencing performance up to 275 TOPS, eNVP-JAO-AI- V0008 is tailor-made for all next-gen logistics applications.
Data-Oriented Logistics Management
Now that big data as well as networking plays an important role for logistics automation, eNVP-JAO-AI-V0008 is thus designed to meet this market trend. Accelerated by NVIDIA® Jetson AGX Orin™ with up to 2,048 CUDA cores and 64 3rd-generation Tensor Cores, this revolutionary AI platform is capable of real-time data processing and transmission. For the benefit of low-latency data transmission, eNVP-JAO-AI- V0008 can support both 10GbE and GbE LANs. With the aid of M.2 B-key/E-key slots for 4G/5G/Wi-Fi and CAN bus for motion/direction control, eNVP-JAO-AI-V0008 enhances the management efficiency across the logistics supply chains, including in/out-bound registrations, parcel quality control, warehouse inventory, etc.
Computer Vision & Supply Chain Applications
AI-based computer vision is changing the way the logistics industry operates its supply chains. Currently designed with eight(8) PoE ports, with a plan to upgrade to GMSL FAKRA Z connectors, eNVP-JAO-AI-V0008 optimizes video analytics solutions by being installed together with 3D LiDAR, IP cameras, and more vision navigation applications. eNVP-JAO-AI-V0008 also meets the storage requirements for large-scale computer vision tasks, with its onboard 32/64GB 256-bit system memory and 64GB eMMC storage. Furthermore, this EverFocus AGX Orin platform also features SD Card and M.2 M-key 2280 for NVMe SSD, which upgrades all vision-based AI applications in a giant coverage.
Industrial-Scale All-Round Deployment
Designed with rich I/O configurations and rugged hardware (242 x 177 x 94 mm), eNVP-JAO-AI-V0008 provides ready-to-deploy solutions for wider indoor/outdoor logistics applications under harsh environments. Besides LANs and CAN bus that facilitates smooth networking, to be flexible and application-oriented, eNVP-JAO-AI- V0008 also leverages USB x 4, GPIO x 8, and Serial COM x 3 (RS485/232). Also, this all-in-one platform is certified with CE/FCC, EN50155, and MIL-STD-810G, which enables it to resist shock and vibration to a military/railway standard. Featuring its wide range of temperature (-20°C~60°C) and voltage (DC 9-55V) with ignition control, eNVP-JAO-AI-V0008 is also ideal for broad logistics implementation during the move, such as Automated Guided Vehicles (AGV), Autonomous Mobile Robots (AMR), robotics, etc.
With huge AI development potential, eNVP-JAO-AI-V0008 can help calculate the numerical data of the in-house inventory, and analyze the information on labels, logos, dimensions, expiration dates, etc. As an outcome, not only the supply chain efficiency & goods quality can be individually increased by 20% & 15% but the human error risk can be decreased by 30%.
Data-Oriented Logistics Management
Now that big data as well as networking plays an important role for logistics automation, eNVP-JAO-AI-V0008 is thus designed to meet this market trend. Accelerated by NVIDIA® Jetson AGX Orin™ with up to 2,048 CUDA cores and 64 3rd-generation Tensor Cores, this revolutionary AI platform is capable of real-time data processing and transmission. For the benefit of low-latency data transmission, eNVP-JAO-AI- V0008 can support both 10GbE and GbE LANs. With the aid of M.2 B-key/E-key slots for 4G/5G/Wi-Fi and CAN bus for motion/direction control, eNVP-JAO-AI-V0008 enhances the management efficiency across the logistics supply chains, including in/out-bound registrations, parcel quality control, warehouse inventory, etc.
Computer Vision & Supply Chain Applications
AI-based computer vision is changing the way the logistics industry operates its supply chains. Currently designed with eight(8) PoE ports, with a plan to upgrade to GMSL FAKRA Z connectors, eNVP-JAO-AI-V0008 optimizes video analytics solutions by being installed together with 3D LiDAR, IP cameras, and more vision navigation applications. eNVP-JAO-AI-V0008 also meets the storage requirements for large-scale computer vision tasks, with its onboard 32/64GB 256-bit system memory and 64GB eMMC storage. Furthermore, this EverFocus AGX Orin platform also features SD Card and M.2 M-key 2280 for NVMe SSD, which upgrades all vision-based AI applications in a giant coverage.
Industrial-Scale All-Round Deployment
Designed with rich I/O configurations and rugged hardware (242 x 177 x 94 mm), eNVP-JAO-AI-V0008 provides ready-to-deploy solutions for wider indoor/outdoor logistics applications under harsh environments. Besides LANs and CAN bus that facilitates smooth networking, to be flexible and application-oriented, eNVP-JAO-AI- V0008 also leverages USB x 4, GPIO x 8, and Serial COM x 3 (RS485/232). Also, this all-in-one platform is certified with CE/FCC, EN50155, and MIL-STD-810G, which enables it to resist shock and vibration to a military/railway standard. Featuring its wide range of temperature (-20°C~60°C) and voltage (DC 9-55V) with ignition control, eNVP-JAO-AI-V0008 is also ideal for broad logistics implementation during the move, such as Automated Guided Vehicles (AGV), Autonomous Mobile Robots (AMR), robotics, etc.
With huge AI development potential, eNVP-JAO-AI-V0008 can help calculate the numerical data of the in-house inventory, and analyze the information on labels, logos, dimensions, expiration dates, etc. As an outcome, not only the supply chain efficiency & goods quality can be individually increased by 20% & 15% but the human error risk can be decreased by 30%.