A Vehicle Location Tracking System.
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Updated
Oct 1, 2019 - Java
A Vehicle Location Tracking System.
Collision Detection System
Arduino GPS datalogger with ATGM336H module, SD card module, and ATSAMD21 microcontroller.
Simulator of u-blox 6 serial communication protocol (UBX)
Project topic is DrowsiShield that ensures drivers safety. The main aim of this system is to avoid accidents by instantly detecting the driver’s level of drowsiness and sending alerts through audio and haptic stimulation.
The Raspberry Pi GPS Tracker monitors vehicle speed in real-time, flagging predefined speed violations. Using a Raspberry Pi and USB GPS module, it records incidents on a USB drive. A desktop script visualizes incidents on Google Maps. Enhance road safety with this compact solution.
Drowsiness detection system integrated with PC and Arduino UNO to create an alert system. And creating a system to alert the nearest emergency points whenever the driver accident is encountered.
Smart Question Box built with Arduino to prevent question leakage in public exams.
Arduino - Project working with a Nano V3 / NeoPixel 5V LED stripe with 3 LEDs / Neo 6-m gps module with antenna / electro magnet lock 5V / Li-Ion 18650 Battery with
Custom Firmware for TTGO T-Watch 2019 with u-blox NEO-M8N GPS
Give your Raspberry Pi GPS tracking capabilities either through WiFi or LTE and create dynamic maps with Google Maps API and PubNub.
scripts useful in gnss data access, pre- and post- processing, and access to supplemental data
This is a smart helmet that has been produced to assist miners operating in the mining industry. Many risky incidents commonly occur in the mining sector, many of which can result in life-threatening injuries or death. A miner's helmet is one of the most regularly used safety equipment for mine workers hence it must be loaded with some more adva…
Detection and warning system for a two-wheeled vehicle based on location via SMS
Driving 1998-2002 Ford/Mercury Cougar cluster LCDs with an Arduino to display GPS speed and time
Transferring the data obtained from the sensors connected to the STM32 microcontroller to the desktop application with LoRa modules.
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