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MV Robotics's Projects

2018aicity_teamuw icon 2018aicity_teamuw

The winning method in Track 1 and Track 3 at the 2nd AI City Challenge Workshop in CVPR 2018 - Official Implementation

a-loam icon a-loam

Advanced implementation of LOAM

ardubluebot icon ardubluebot

4 Wheel Robot, with Arduino UNO rev3, Bluetooth control, and Ultrasonic-guide mode

arduino-tensorflow-android-selfdrivingcar icon arduino-tensorflow-android-selfdrivingcar

This was my first attempt at creating a self driving car using OpenCV and Tensor Flow. The idea was to control a remotecontrol car with an arduino which recieved instructions for a netbook which took camera inputs and used OpenCV to make driving decitions.

ardurocket icon ardurocket

Arduino-based microcontroller to stabilize model and high power rockets.

armsat icon armsat

A nano satellite platform built using a STM32F4 and numerous additional sensors and peripherals for the EG1310 module

autonomous-forest-surveillance-safety-system-using-opencv icon autonomous-forest-surveillance-safety-system-using-opencv

The current forest surveillance systems methods consume a lot of resources and are less efficient, not reliable and require a constant human presence whose tasks can be easily automated using new technology. To solve these problems we propose an autonomous surveillance system which uses object detection to identify specified animals. It is capable of monitoring forest fires, intruders, wildlife etc, all at once and alerts the concerned officials immediately and precisely. It has a hybrid object detection system using HAAR and Backpropagation neural network algorithms which can be used to train and detect animals and predict from the data obtained respectively. This helps in detecting various unwanted visitors, dangerous animals, or restricted tools into the forest. The system can not only store the video feed but can also determine population , track a specific animal or human and sends the pictures to your email directly along with real-time video monitoring via the internet which allows the users to monitor from anywhere in the world and sends instant alerts to your phone via an SMS even in remote areas in case of emergencies, and it stores all the data in a repository. We can control the system using a windows app which allows us to select which animals to be detected by the camera modules and their alert levels along with other settings and also provides a detailed analysis on various things like forest fires, animal population, trespassed areas etc, to users in simple charts. It is a smart, automatic, modular system which is cheap and easily expandable.

autonomous-rc-car icon autonomous-rc-car

A scale down version of a self driving car system achieved by using OpenCV and Python. This helps the RC car to perform basic autonomous functions such as start and stop by the help of sensors and Raspberry Pi.

autorccar icon autorccar

OpenCV Python Neural Network Autonomous RC Car

avalanche icon avalanche

Autonomous 6WD off-road survillance vehicle

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