Embedded Project

Vehicle Accident Detection and Alert System

An embedded safety device that detects a crash from impact and tilt sensing and sends location alerts with a cancellation window.

Intermediate6–8 weeksCSE · ITEmbedded SystemsInternet of Things

Project overview

An accelerometer and gyroscope mounted on the vehicle detect the deceleration and orientation change characteristic of a crash. The device then gives the rider a short window to cancel a false alarm before sending an SMS with GPS coordinates to emergency contacts.

The cancellation window is the design detail that makes this credible — a system that calls for help every time a bike falls over in a parking bay would be switched off within a week.

Problem statement

The interval between a road accident and the first emergency call is decisive for survival, and a rider travelling alone at night may be unable to call at all.

Proposed solution

Detect impact through acceleration magnitude combined with a sustained tilt, confirm across a short window to reject potholes and normal braking, then trigger an alert with location. Allow manual cancellation via a button and a buzzer countdown before the message is sent.

Key features

  • Impact detection from acceleration magnitude thresholds
  • Tilt confirmation to distinguish a crash from a hard brake
  • GPS location capture with a fallback to the last known fix
  • SMS alert to multiple emergency contacts with map coordinates
  • Buzzer countdown and a cancel button for false alarms
  • Event log stored on the device for later review
  • Optional cloud upload of trip and incident history

Technology stack

Hardware

Arduino Nano or ESP32MPU6050 accelerometer and gyroscopeNEO-6M GPSSIM800L GSM moduleBuzzerPush button

Firmware

Embedded C / ArduinoInterrupt-driven sensingState machineAT command handling

Cloud (optional)

FirebaseGoogle Maps link generation

Testing

Controlled drop testsThreshold calibration logs

System architecture

The flow below is what goes into your architecture diagram and the corresponding chapter of the report.

  1. Motion sensing runs continuously with an interrupt on high acceleration
  2. Detection stage evaluates magnitude and orientation over a short confirmation window
  3. Alert state starts a countdown with an audible warning
  4. Cancel input aborts the sequence and logs a false positive
  5. On timeout the GPS fix is read and an SMS is composed with a map link
  6. The event is written to the local log and uploaded when connectivity permits

Expected output

  • Working device that triggers on a simulated impact
  • SMS alert containing live coordinates and a map link
  • Threshold calibration data from controlled tests
  • Incident log with sensor values at trigger time

Suitable branches, difficulty and duration

Suitable branches

Difficulty level

Intermediate. Comfortable for a team where at least one member has worked in this stack before.

Development duration

6–8 weeks including documentation, tested and ready to demonstrate. Milestones are planned around your review dates.

Documentation, review, demo and viva support

Documentation support

Abstract, problem statement, literature survey guidance, system architecture, ER and UML diagrams, module descriptions, test cases and screenshots — prepared in your department format.

Project review support

Delivery is split across your review calendar so review one has a design and plan, review two has working modules, and the final review has the integrated, tested system.

Demo support

A rehearsed demo path, seeded sample data, a reset script, and a recorded walkthrough kept as a backup in case something fails in the review room.

Viva preparation

A written question bank for this domain, a code walkthrough session, and practice at explaining each module in your own words — because the examiner will ask you.

Customisation options

Colleges reject duplicate topics, so most projects are adjusted before we start. These are the usual directions for this one.

  • Add automatic voice call to the primary contact after the SMS
  • Add helmet-wear detection as an ignition interlock
  • Add rider fatigue detection from riding pattern analysis
  • Add a nearest-hospital lookup in the alert message
Talk to CodeLab69

Enquire about the Vehicle Accident Detection and Alert System project

Send your branch, college and first review date. You will get confirmation of scope, what the customisation would look like, and a delivery plan mapped to your reviews.