vishalwins's repositories
medium-unlimited
A browser extension to read medium.com articles for free without membership.
retoolkit
Reverse Engineer's Toolkit
SU-27SK
Su-27SK fighter aircraft implementation for FlightGear flight simulator
uwb-drone-dataset
Ultra-wideband (UWB) Localization for Autonomous UAV Flight in GNSS-denied Environments
autonomous_landing_uav
ROS packages of the Autonomous landing system of a UAV in Gazebo
RUL-Net
Deep learning approach for estimation of Remaining Useful Life (RUL) of an engine
AircraftAccidentsAnalysis
The analysis of aircraft accidents since 1900.
balena-sound
Build a single or multi-room streamer for an existing audio device using a Raspberry Pi! Supports Bluetooth, Airplay and Spotify Connect
AI-Thermometer
Code for automatically measuring the temperature of people using a thermal camera.
drone-detection
A deep learning neural net model to detect drone/drones from a given picture using Using Fast R-CNN architecture via Keras-Retinanet Implementation. (Dataset and Pre-Trained model provided)
face-recognition
A framework for creating and using a Face Recognition system.
PythonRobotics
Python sample codes for robotics algorithms.
Firmware
PX4 Autopilot Software
PUF
Physical Unclonable Functions
gazebo_models
ar_tag models for gazebo
icestickPWM
Simple USB to PWM Peripheral using Lattice iCEStick (Hackaday demo)
wolfTPM
wolfTPM is a highly portable TPM 2.0 library, designed for embedded use.
uart-for-fpga
Simple UART controller for FPGA written in VHDL
FPGA-I2C-Minion
A simple I2C minion in VHDL
secureboot-tegra
Scripts to automate tegra secureboot related steps in L4T documentation
maverick
UAV Autonomous Systems Management
object-detection
Object detection on thermal images(FLIR dataset)
beaglebone-blue
BeagleBoard.org BeagleBone Blue - BeagleBone optimized for mobile robotics
vision_landing
Precision landing using visual targets
TPMS
Tire Pressure Monitoring System
DroneLanding
It is drone vision landing based on PX4 SITL Simulation.
Malware-Analysis-on-Hardware
Exploratory data analysis is performed on the dataset of 16 hardware performance counters (HPCs). Correlation is determined to check the fluctuation. HPC’s performance is evaluated by machine learning classifiers. Python and Weka are used to accomplish tasks in the project.
Physically-Unclonable-Functions-for-Hardware-Security
PUF is a digital Fingerprint used to prevent semi-conductor device designs of a particular company to be stolen, copied or remade by the Foundry or any other company. This project was to analyze which out of Arbiter or Butterfly PUFs work the best for Hardware Security.