Bicycle Crash Detection System

Author: Careja Alexandru-Cristian

Introduction

Previously working on another project that enhances the experience on riding a bike (at PM in 2021 when I designed a dashboard for my bike) I thought of what can I make with what I've learnt during the IoT course to make my bike rides better. Since moving to Bucharest for uni I've left my bike at home because I'm afraid of riding a bicycle in Bucharest's traffic. This has determined me to create a crash detection system for my bike. I already had the Neo-6M GPS module and the bike attachment “system” I designed 2 years ago, I just had to remove the old Arduino and the display.

Hardware

Objects used:

  • ESP32
  • Neo-6M GPS Module
  • ADXL335 Accelerometer
  • Cables
  • Handmade bicycle attachment

Hardware schematic:

The GPS Neo-6M module has the following connections to the ESP32:

  • VCC → VCC (5V)
  • RX → GPIO16 (TX2)
  • TX → GPIO17 (RX2)
  • GND → to GND

The ADXL335 accelerometer has the following connections to the ESP32:

  • VCC → VCC(3.3V)
  • X_OUT → GPIO36
  • Y_OUT → GPIO39
  • GND → GND

Software

The program running on the ESP32 reads every 50 miliseconds the accelerometer data. It converts the analog reading into g units acceleration. The ADXL335 is capable of recording in a range from -3g to 3g. The analog read is a measure of voltage which lands in the interval [0, 3300 mV], where 1.65V should mean acceleration zero, and the edges (0 and 3300mV) -3g respectively 3g. When testing the readings myself, I've observed that when acceleration was 0, the reading was ~1.8V, so that's the value I used in my g force calculation.

  x_adc_value = analogRead(ACCEL_X_Pin); // Digital value of voltage on x_out pin
  y_adc_value = analogRead(ACCEL_Y_Pin); // Digital value of voltage on y_out pin
  x_g_value = ((((double) x_adc_value /1023) - 1.8 ) / 0.3); // Acceleration in x-direction in g units
  y_g_value = ((((double) y_adc_value /1023) - 1.8 ) / 0.3); // Acceleration in y-direction in g units

For every accel read, the acceleration values are checked, and if any of them is higher than a set threshold, then an alarm is triggered. The set threshold was chosen to be higher than the maximum deceleration a bicycle is physically capable of doing when using its brakes. That maximum is 0.71 according to this source. So, the threshold I chose is 0.8g.

Every approximately 10 seconds, the program tries to record the location to have it stored for future use if needed.

When an alarm is triggered, the program tries to read the location from the GPS module 5 times with 100ms in between tries. In case the GPS isn't available, it will use the last known location which is recorded every 50 seconds. It creates an alert message which includes a Google Maps location of where the crash happened or the last known location before the crash and sends it to the phone via Bluetooth using the BluetoothSerial library.

while (!updated_location && tries_left-- != 0) {
    if (ss.available() > 0) {
      if (gps.encode(ss.read())) {
        if (gps.location.isValid()) {
          latitude = gps.location.lat();
          longitude = gps.location.lng();
          strcat(alarm_msg, "Current location: ");
          updated_location = true;
        }
      }
    }
    delay(100);
  }
  if (!updated_location) {
    strcat(alarm_msg, "Last known location: ");
  }
  
  sprintf(location_string, " https://www.google.com/maps/@%.7f,%.7f,18z\n", latitude, longitude);
  strcat(alarm_msg, location_string);

  Serial.print("Sending alarm message");
  Serial.println(alarm_msg);
  SerialBT.println(alarm_msg);

Results

Since I didn't have my bicycle in Bucharest, the only way to test this was to move the wooden mount with the system attached with my hand violently so that its acceleration surpasses the threshold acceleration. And it did work! I got the notification in the Serial Bluetooth Terminal app on my phone.

Looking at future improvements of this project, I would like to have the Bluetooth notification be able to trigger the Emergency SOS feature from Android.

References

iothings/proiecte/2022sric/crash-detection.txt · Last modified: 2023/06/02 01:13 by alexandru.careja
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