Security is an important issue for hospitals and medical centers to consider. Today's Facial Recognition can provide ways of automating security in the medical industry, reducing staffing costs and making medical facilities safer for both patients and staff.
HIAS TassAI Facial Recognition Agent processes streams from USB connected cameras and uses facial detection/facial reidentification and a facial landmark classifier powered by OpenVINO, allowing inference on the CPU or VPU (Intel® Movidius™ Neural Compute Stick or Intel® Neural Compute Stick 2) to identify known and unknown humans.
Once TassAI identifies a known person or an intruder it can communicate with other devices and applications on the HIAS network, for example, it could send a request to the HIAS GeniSysAI NLP Agent and start communication with the person, or sound an alarm in the event of an intruder.
Intel® Movidius™ Neural Compute Stick 1
In this project we use the The Intel® Movidius™ product is a USB appliance that can be plugged into low-powered edge devices such as Raspberry Pi and UP Squared, and basically takes the processing off the CPU and onto the Intel Movidius brand chip, decreasing inference times.
Intel® Movidius™ Neural Compute Stick 2
The Intel® Movidius™ Neural Compute Stick 2 is the latest version of the Neural Compute Stick.
GETTING STARTED
To get started head to the documenation guide.
Contributing
Asociación de Investigacion en Inteligencia Artificial Para la Leucemia Peter Moss encourages and welcomes code contributions, bug fixes and enhancements from the Github community.
Contributing
The Asociación de Investigacion en Inteligencia Artificial Para la Leucemia Peter Moss encourages and welcomes code contributions, bug fixes and enhancements from the Github community.
Ways to contribute
The following are ways that you can contribute to this project:
Please read the CONTRIBUTING document for a full guide to forking our repositories and submitting your pull requests. You will also find information about our code of conduct on this page.
You can also join in with, or create, a discussion in our Github Discussions area.
Contributors
All contributors to this project are listed below.
Versioning
We use SemVer for versioning.
License
This project is licensed under the MIT License - see the LICENSE file for details.
Bugs/Issues
We use the repo issues to track bugs and general requests related to using this project. See CONTRIBUTING for more info on how to submit bugs, feature requests and proposals.
