Optimize Performance for Low-Power Devices

The current algorithms in the Face-X repository are computationally intensive and may not perform efficiently on low-power devices like Raspberry Pi. This limits the usability of the repository in edge computing scenarios and IoT applications where computational resources are constrained.

I would like to see the algorithms optimized for low-power devices. This involves profiling existing algorithms to identify performance bottlenecks and optimizing the code to reduce computational load and memory usage. The goal is to enable these algorithms to run efficiently on devices with limited resources, such as Raspberry Pi, while maintaining accuracy and performance.

Alternatives are use lighter versions of the algorithms, which might sacrifice accuracy for performance and Offload computation to a more powerful server and only use the low-power device for capturing and sending data. However, this approach requires reliable internet connectivity and may introduce latency.