Client Industry
Aged Care & Disability
Technology stack
Computer Vision
Edge Computing
Industry
Aged Care & Disability
Technology stack
Computer Vision
Edge Computing
Industry
Aged Care & Disability
Technology stack
Computer Vision
Edge Computing
The challenge
The client had a device designed to alert medical services after detecting falls from elderly users. However, the existing model used by the client was slow, and the sound and computer vision detection were not performing as quickly or accurately as needed. Updates to the model were needed to ensure the device was performing quickly and accurately.
The solution
Blackbook was engaged to verify the accuracy of the device and rebuild models and bring the models up to the latest technology to to deploy. The solution focused on building new Edge AI model architecture, code optimisations and data cleaning and collection. The new model architecture and data optimisations allowed for more up-to-date technology to be applied with improved accuracy and remove unnecessary code from the looping statement to improve the speed.
The outcomes
The improvement made by Blackbook improve accuracy and speed significantly. The process of detecting falls from the initial sound of the fall to the images captured and sent to alert desk for verification is much faster than the previous model. This allowed the client to improve their devices and ensure the quick safety response assured to users of their device.
