Embedded Platform for Detecting Human Behavior

Computer Vision, Healthcare
Embedded Platform for Detecting Human Behavior

Automated Detection of Behavourial Patterns for Healthcare Applications

Embedded platform to monitor patients in their premises and signal an alarm when someone falls off their bed, has an accident, etc., which can be a big problem for residents of hospitals and old-age homes. The development included the selection of state-of-the-art object detection algorithms for face-landmarks and body-pose estimation, and porting them to the Nvidia Jetson NX platform. The project included the development of an Edge AI development framework that provides necessary tools and processes for rapid deployment of AI/ML research results into AI enabled applications on edge devices. It provides: (a) extensible inference engines, (b) platform-independent libraries supporting image transformations, and (c) validation tools capable of guaranteeing the algorithm functionality across different platforms.

Automated Detection of Behavourial Patterns for Healthcare Applications

Solution

Solution

Experience

In production, real-world AI solutions in healthcare, automotive, retail.

Solution

Expertise

A dedicated team of 30 engineers, scientists and developers passionate about embedded AI.

Solution

Software & Hardware

Optimising AI to run on a range of embedded platforms suited for specific requirements.

Solution

Software & Hardware

Optimising AI to run on a range of embedded platforms suited for specific requirements.

Technology Stack

We are hardware agnostic, the engineers at Darwin Edge will work with the board best adapted to the project at hand.

Our operational prototypes use Nvidia Jetson NX board, TensorRT ML library, OpenCV, C/C++ integration of the models and implementation of the application layer, Nvidia DLA acceleration for Deep Neural Networks.

Technology Stack

Outcome Value

Embbed AI patient monitoring offers real-time care 24/7 without intruding on the privacy of the individual. Darwin Edge is already capable of:

  • On-device real-time detection of basic human activities (e.g., standing, sitting, lying), including anomalous ones, e.g. falling down​.
  • Improving the application layer to match the field requirements, using novel techniques and data collection.

The future will see embedded AI allowing the elderly population to remain more independant while assuring their love ones that they remain safe.

Outcome Value
Edge AI Potential

Discover the real value that Edge AI technology can bring to your business

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Agriculture