Fall Detection with Edge AI
Detecting fall events from IMU accelerometer and gyroscope data in real time. Classifies motion patterns to distinguish genuine falls from normal activities like sitting down quickly, stumbling and recovering, or placing the device on a surface. Critical for elderly care wearables and workplace safety devices in construction or manufacturing. Models process short windows of 6-axis inertial data and trigger alerts within seconds of a fall event.
Hardware Requirements
| Minimum RAM | 64 KB |
| Minimum Flash | 256 KB |
| Sensor Inputs | imu |
| Typical Model Size | 20 KB (quantized int8) |
Compatible Microcontrollers
ESP32
Espressif
520 KB RAM · 240 MHz
$5–$15 (dev board)
ESP32-C3
Espressif
400 KB RAM · 160 MHz
$4–$10 (dev board)
ESP32-C6
Espressif
512 KB RAM · 160 MHz
$5–$15 (dev board)
ESP32-S3
Espressif
512 KB RAM · 240 MHz
$10–$25 (dev board)
i.MX RT1062
NXP
1024 KB RAM · 600 MHz
$25–$40 (dev board)
nRF52833
Nordic Semiconductor
128 KB RAM · 64 MHz
$10–$25 (dev board)
nRF52840
Nordic Semiconductor
256 KB RAM · 64 MHz
$20–$35 (dev board)
RA6M5
Renesas
512 KB RAM · 200 MHz
$25–$50 (dev board)
STM32F4
STMicroelectronics
192 KB RAM · 168 MHz
$10–$30 (dev board)
STM32F7
STMicroelectronics
512 KB RAM · 216 MHz
$25–$60 (dev board)
STM32H7
STMicroelectronics
1024 KB RAM · 480 MHz
$30–$80 (dev board)
STM32L4
STMicroelectronics
128 KB RAM · 80 MHz
$15–$50 (dev board)
STM32U5
STMicroelectronics
786 KB RAM · 160 MHz
$20–$50 (dev board)
Hardware Guides
ESP32-C3 Fall Detection with Edge Impulse
The ESP32-C3 is an excellent match for fall detection with Edge Impulse. 400 KB SRAM delivers 6.3x the 64 KB minimum while 160 MHz processes…
ESP32-C3 Fall Detection with TFLite Micro
For fall detection, the ESP32-C3 with TFLite Micro scores Excellent. Its 400 KB internal SRAM (6.3x the required 64 KB) and 160 MHz clock en…
ESP32-C6 Fall Detection with Edge Impulse
For fall detection, the ESP32-C6 with Edge Impulse scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 160 MHz clock en…
ESP32-C6 Fall Detection with TFLite Micro
The ESP32-C6 is an excellent match for fall detection with TFLite Micro. 512 KB SRAM delivers 8.0x the 64 KB minimum while 160 MHz processes…
ESP32 Fall Detection with Edge Impulse
The ESP32 is an excellent match for fall detection with Edge Impulse. 520 KB SRAM delivers 8.1x the 64 KB minimum while 240 MHz processes 20…
ESP32 Fall Detection with TFLite Micro
The ESP32 is an excellent match for fall detection with TFLite Micro. 520 KB SRAM delivers 8.1x the 64 KB minimum while 240 MHz processes 20…
ESP32-S3 Fall Detection with Edge Impulse
Espressif's ESP32-S3 excels at fall detection via Edge Impulse. The 2-core xtensa-lx7 at 240 MHz with 512 KB SRAM handles 20 KB quantized mo…
ESP32-S3 Fall Detection with TFLite Micro
For fall detection, the ESP32-S3 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 240 MHz clock en…
i.MX RT1062 Fall Detection with CMSIS-NN
The i.MX RT1062 is an excellent match for fall detection with CMSIS-NN. 1024 KB SRAM delivers 16.0x the 64 KB minimum while 600 MHz processe…
i.MX RT1062 Fall Detection with TFLite Micro
The i.MX RT1062 is an excellent match for fall detection with TFLite Micro. 1024 KB SRAM delivers 16.0x the 64 KB minimum while 600 MHz proc…
nRF52833 Fall Detection with Edge Impulse
Running fall detection on the nRF52833 with Edge Impulse is practical. 128 KB SRAM meets the 64 KB minimum with 2.0x headroom. The 64 MHz co…
nRF52833 Fall Detection with TFLite Micro
Running fall detection on the nRF52833 with TFLite Micro is practical. 128 KB SRAM meets the 64 KB minimum with 2.0x headroom. The 64 MHz co…
nRF52840 Fall Detection with Edge Impulse
The nRF52840 is an excellent match for fall detection with Edge Impulse. 256 KB SRAM delivers 4.0x the 64 KB minimum while 64 MHz processes …
nRF52840 Fall Detection with TFLite Micro
The nRF52840 is an excellent match for fall detection with TFLite Micro. 256 KB SRAM delivers 4.0x the 64 KB minimum while 64 MHz processes …
RA6M5 Fall Detection with CMSIS-NN
For fall detection, the RA6M5 with CMSIS-NN scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 200 MHz clock ensure sm…
RA6M5 Fall Detection with TFLite Micro
Renesas's RA6M5 excels at fall detection via TFLite Micro. The 1-core cortex-m33 at 200 MHz with 512 KB SRAM handles 20 KB quantized models …
STM32F4 Fall Detection with Edge Impulse
The STM32F4 is an excellent match for fall detection with Edge Impulse. 192 KB SRAM delivers 3.0x the 64 KB minimum while 168 MHz processes …
STM32F4 Fall Detection with TFLite Micro
STMicroelectronics's STM32F4 excels at fall detection via TFLite Micro. The 1-core cortex-m4f at 168 MHz with 192 KB SRAM handles 20 KB quan…
STM32F7 Fall Detection with CMSIS-NN
For fall detection, the STM32F7 with CMSIS-NN scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 216 MHz clock ensure …
STM32F7 Fall Detection with TFLite Micro
For fall detection, the STM32F7 with TFLite Micro scores Excellent. Its 512 KB internal SRAM (8.0x the required 64 KB) and 216 MHz clock ens…
STM32H7 Fall Detection with CMSIS-NN
For fall detection, the STM32H7 with CMSIS-NN scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 480 MHz clock ensur…
STM32H7 Fall Detection with TFLite Micro
For fall detection, the STM32H7 with TFLite Micro scores Excellent. Its 1024 KB internal SRAM (16.0x the required 64 KB) and 480 MHz clock e…
STM32L4 Fall Detection with Edge Impulse
The STM32L4 is an excellent match for fall detection with Edge Impulse. 128 KB SRAM delivers 2.0x the 64 KB minimum while 80 MHz processes 2…
STM32L4 Fall Detection with TFLite Micro
The STM32L4 is an excellent match for fall detection with TFLite Micro. 128 KB SRAM delivers 2.0x the 64 KB minimum while 80 MHz processes 2…
STM32U5 Fall Detection with CMSIS-NN
The STM32U5 is an excellent match for fall detection with CMSIS-NN. 786 KB SRAM delivers 12.3x the 64 KB minimum while 160 MHz processes 20 …
STM32U5 Fall Detection with TFLite Micro
For fall detection, the STM32U5 with TFLite Micro scores Excellent. Its 786 KB internal SRAM (12.3x the required 64 KB) and 160 MHz clock en…
Industry Applications
Orchestrate Fall Detection with ForestHub
Your devices run fall detection on-device. ForestHub on your Linux edge gateway ingests their results over MQTT/Modbus/OPC-UA, orchestrates the sense-reason-act loop as an auditable graph, and acts on the line — the LLM is one node among many.