The Edge Developer Toolbox Sample Applications

The Edge Developer Toolbox provides various pre-validated applications that allow you to quickly build and test a solution for common use cases. From the Edge Developer Toolbox home page, click Develop AI Applications to check out the catalog:

• LLM Customer Support on the Edge

  Run LLM chatbots on edge devices for reduced latency and bandwidth requirements, offline functionality, enhanced privacy, and to meet regulatory needs.

• Smart Retail Analytics

  Analyzes video from multiple cameras to provide retail insights including shelf inventory, customer counts, and emotion detection.

• Smart City Analytics

  Monitors traffic, detects vehicles and people, and sends out alerts when a vehicle collision is detected.

• Crash Event Prediction

  Processes a system crash log, analyzes it, and predicts the next crash. Leverages OpenVINO™ Hybrid SDK to combine edge processing with cloud analysis.

• Accelerated Object Detection

  Uses an optimized and pre-trained MobileNet-SSD neural network to detect vehicles in a pre-recorded video clip.

• Safety Gear Detection

  Uses an optimized and pre-trained MobileNet-SSD neural network to detect people and their safety gear from video input.

• People Counter System

  Detects and tallies the number of individuals within each video frame, providing real-time counts and visually annotating each person with a bounding box.

• Pneumonia Classification

  Classifies patients with pneumonia over healthy cases based on their chest X-ray images.

• YOLOv8 Object Detection

  Detects any number of objects within a video frame, specifically targeting known objects.

• Benchmarking Application

  Illustrates the usage of OpenVINO™’s benchmarking utility for evaluating the performance of a pre-trained model.

You can click through each tile to view more information about each sample application, such as the model it uses and how it works.