Intel Movidius

Intel Movidius

Automate surveillance, develop face recognition, and create object recognition systems without internet.

FreemiumOtherAPI, Windows, macOS, Linux
Intel Movidius screenshot

What is Intel Movidius?

Intel Movidius is a platform for building computer vision applications that run locally on edge devices, without requiring internet connectivity. It focuses on three main areas: surveillance automation, face recognition systems, and object detection. The platform is designed for developers who need to deploy vision models to physical hardware like cameras, drones, and embedded devices. By processing data locally rather than sending it to cloud servers, Movidius offers privacy benefits and reduces latency, making it suitable for real-time applications in security, robotics, and industrial settings.

Key Features

Local processing

Run computer vision models directly on edge devices without cloud dependency

Face recognition development

Build and deploy facial identification systems on hardware

Object detection

Create systems that identify and classify objects in real-time video feeds

Surveillance automation

Set up automated monitoring and alerting based on visual events

Hardware acceleration

Optimise model performance through Intel's neural processing hardware

Model deployment

Export trained models to run on Movidius-compatible devices

Pros & Cons

Advantages

  • Privacy-first approach; data stays on the device and doesn't travel to external servers
  • Low latency processing suitable for real-time applications requiring immediate responses
  • Reduced bandwidth requirements since processing happens locally
  • Works offline, removing dependency on internet connectivity

Limitations

  • Limited to devices with compatible Intel hardware; not all edge devices are supported
  • Smaller ecosystem compared to cloud-based computer vision platforms like AWS Rekognition

Use Cases

Security and surveillance systems that monitor facilities and alert staff to unusual activity

Drone-based inspection and monitoring that processes video feeds in real-time

Retail applications such as people counting and queue management at store entrances

Industrial settings where cameras monitor equipment operation and flag anomalies

Smart city applications including traffic monitoring and public space safety