Experience Edge AI on Intel DevCloud.
Integrated monitoring and management within the parking area: Easily build and evaluate AI learning models with Intel DevCloud.
[Special Feature] To reduce product development time and costs, Advantech has partnered with Intel to offer "Intel DevCloud for the Edge," which allows the use of its own edge AI platform in cloud environments. By using "Intel DevCloud for the Edge," applications can be run on various Intel hardware (CPU/GPU/FPGA/VPU) hosted in the cloud, enabling developers to test the performance of models such as the Intel OpenVINO toolkit.
basic information
"How to Use Intel DevCloud for the Edge" STEP 1: Click "Get Started" to register an account. STEP 2: Development Edit code from the reference samples provided in Jupyter Notebook. Learn and execute code step by step using OpenVINO, and download pre-trained models. Prepare the model using the Model Optimizer. Set the path for pre-recorded videos or live streams. STEP 3: Submit Job Select Advantech's edge AI solutions (CPU, GPU, VPU, FPGA) that can be used as edge accelerators. Submit the application to the job queue to perform inference on a specific edge computing node or on multiple edge computing nodes running simultaneously. STEP 4: Results Display inference results in Jupyter Notebook.
Price range
Delivery Time
Model number/Brand name
AIR・EI Series
Applications/Examples of results
A wide range of industries, including drones, AGVs (automated guided vehicles), kiosk terminals for stores, exterior inspections in factories, medical image processing, and traffic monitoring. ■AI Smart Streetlights■ → In cities, thousands of streetlights are used to ensure that drivers and pedestrians can travel safely. Advantech can equip streetlights with AI to monitor not only the road but also the composition, temperature, and humidity of the air, as well as manage traffic flow and parking, contributing to urban services. ■AGV (Automated Guided Vehicle) Robots■ → AGVs are used to transport products accurately and reliably. By incorporating AI navigation, they can calculate the optimal route in real-time, improving work efficiency more quickly and intelligently. ■AI Facial Recognition System for Stores■ → The accuracy of facial recognition algorithms has improved dramatically in recent years. An AI-based facial recognition system can help prevent shoplifting and further enhance customer satisfaction. ■Image Processing System for AI Exterior Inspection■ → Quality control in manufacturing has traditionally been done visually for many years, which sometimes led to the inability to distinguish similar parts and identify defective products. However, by utilizing AI, it is possible to dramatically improve detection accuracy.
Detailed information
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AIR-100 1 x Intel Movidius Myriad X VPU Low power, supports 4 x 4K displays
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AIR-101 2 x Intel Movidius Myriad X VPU 12-28 VDC, DIN rail inference system
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AIR-200 2 x Intel Movidius Myriad X VPU High durability, high-performance computer
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EI-52 11th Generation Intel Core i5/i3/Celeron Processor Pre-installed with "EdgeX" API for data acquisition
