OpenMV Project Adds TensorFlow Lite, Person Detection to All OpenMV M7, H7 Models

Available to all OpenMV H7 and M7 users, the latest firmware brings TensorFlow Lite support and a built-in person detection system.

The OpenMV project has announced the release of firmware revision 3.5.0 for its OpenMV Cam M7 and H7 smart cameras — adding TensorFlow Lite support for the first time.

Originally created by Ibrahim Abdelkader in 2013 as a project designed to build a better serial camera module, the crowdfunded OpenMV Cam family — which combines machine-learning hardware and a camera module in a single extensible and hacker-friendly device — has proven popular. The launch of the MicroPython-powered OpenMV H7 last year brought computer vision to a new audience, and in the months since the team has been working to add new functionality.

OpenMV Firmware 3.5.0 brings the family's first TensorFlow Lite support, along with an integrated person-detection example built around the microcontroller-focused machine learning platform. At the same time, it fixes a range of bugs and updates the platform to MicroPython 1.11.

More information on the update is available on the OpenMV blog; OpenMV users, meanwhile, can install the latest firmware on all OpenMV Cam M7 and H7 models using the OpenMV IDE.

Gareth Halfacree
Freelance journalist, technical author, hacker, tinkerer, erstwhile sysadmin. For hire: freelance@halfacree.co.uk.
Latest articles
Sponsored articles
Related articles
Latest articles
Read more
Related articles