Implementation of a lightweight fall detection algorithm based on MobileNetV2 on a Zynq platform

Key Points

• Detects falls with high accuracy using a lightweight algorithm on the Zynq platform, improving response times.
• Achieves a processing speed of 30 frames per second, allowing for real-time fall detection.
• Implementation leverages the MobileNetV2 architecture, known for efficiency in embedded systems.
• May enhance safety measures for elderly individuals and those in high-risk environments.