A Simple CAR Dashboard (HMI) prototype build for a project.

# Intellifotainment assist” – Smart HMI for passenger cars To run the program, download all files and save them in the same directory. After that, simply run 'Master.py' in the terminal. At the moment, the program will only run in linux based systems. # The Idea Infotainment systems have come a long way since the first set of dashboards installed in cars. Through our idea, we aim to create a Human Machine interaction model that takes infotainment systems to a new level. The driver tends to get distracted from the road while performing secondary tasks such as changing the music track, locking/unlocking the door while driving etc. Our system shall enable the driver to focus only on driving. Controlling the secondary tasks will be much easier. Our product primarily comprises of 5 modules: 1) Attention and drowsiness detection: - A camera shall be present on the dashboard, in front of the driver, behind the steering wheel. Through digital image processing techniques , using hough circle algorithm and haarcascade of an eye, we shall keep track of the driver’s sight. If he or she is looking away from the road while driving for more than a specified amount of time, we shall alert the driver to focus. We shall map the head orientation and iris position to accurately identify the driver’s attention. 2) Infotainment control features using blink combination: Through a combination of blinks, the driver can turn on or of the headlights, tail lights as well as indicators. Blinking of the eyes shall be detected using ‘dlib’ features in python. This shall give extremely accurate results. 3) Voice commands to control wipers, car lock, music system and windows A simple, yet extremely useful idea that would make the life of the driver a whole lot easy. Enabling the driver to speak to his car infotainment system would allow him to control and navigate these functionalities with great ease. The car will be enabled with a virtual assistant. 4) Automatic rear view mirror adjustment scheme: Using the camera placed in front of the driver, the system shall detect the position of the driver’s head. This shall also be done using image processing techniques and we shall identify the coordinates of the driver head in 3D space. There will be a mapping between the head position and mirror adjustment scheme. The mirrors will adjust their position using servo motors and shall do so automatically by identifying the head position. 5) A revolutionary reverse-assistance algorithm for smart parking and general reversing: Probably the highlight of our model, this feature shall make driving the car in and out of a parking spot, or rather, even reversing a car in general, far easier and safer than what it already is. Like most other modern cars, our model shall also have a camera installed at the back and the corresponding image displayed at the infotainment screen for parking assistance. Upon activating the reverse gear, the screen shall trace the line of motion of the car corresponding to the current position of the steering wheel. Because of this feature, the driver gets an idea of whether or not he’ll hit an obstacle while reversing if the steering wheel is kept at that position. Taking this feature to another level, the rear camera, after capturing the live video feed from the back of the car, shall perform image processing and machine learning algorithms to find a safe, obstacle-free path for reversing and indicate the driver to move the steering wheel accordingly. So instead of relying solely on the drivers judgement, our system shall actually find the path to be taken while reversing, such that other cars and other obstacles will be avoided, and accordingly recommend the driver to steer the wheel in that direction. This feature shall be extremely useful for new drivers/ learners. During the initial phase, to prevent errors from creeping in, we will always have a manual override button. After a good amount of testing, further modifications and refinements can be made. Our systems adds new dimensions to both precautionary safety measures, as well as convenience. If implemented properly, we are confident that our project will reach new heights of HMI and driver assistance technology. It will give drivers several less reasons to worry about.

Smart Car Dashboard via PubNub Data Stream Network

An interactive, modern car dashboard interface built for both aesthetics and functionality. This project showcases a sleek digital dashboard design with real-time data integration, clean UI/UX principles, and responsive components optimized for both simulation and real-vehicle applications.

Car Dash Board display using OLED with realtime accident detection sending location and Real Time using Unix TimeStamp

🚗 Smart Wallet Parking | Hackathon Winner 🏆 AI-powered system using RFID + Car Key Frequency (315/433Hz) for secure entry/exit Nearest slot assignment | Live dashboard | 58-slot parking lot | Flask + React Production-ready demo with composite keys (RFID+Freq)

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A real-time automotive dashboard and telematics system designed with an STM32F407VGT6 (ECU) and ESP32 (Gateway). It features FreeRTOS for multitasking, CAN Bus for robust communication, AWS IoT for remote cloud monitoring, and for Displaying the parameter on the DWIN Display (DWIN DMG80480C070_04WTC).

🏎️ Premium Car Marketplace built with Spring Boot & Thymeleaf. Features AI-powered car comparison, market analytics dashboards, and smart price estimation.

Smart LED telemetry dashboard for your car. Powered by RPi Zero 2 W & Python. Features ultra-low latency OBD2 polling and mathematical gear prediction.

A data-driven dashboard to monitor and analyze car sales trends, revenue, and performance by model, region, and dealer — helping businesses make smarter, data-backed decisions.

An AI-powered e-commerce platform for car spare parts. Users can search, diagnose car symptoms using an AI assistant, and order parts. Features include smart cart, user profile, admin dashboard, and secure login system—built with React, PHP, and MySQL.

🚘 BMW Sales & Customer Analytics Dashboard (Power BI) An interactive dashboard analyzing BMW sales, revenue, top models, and customer trends. Includes a dynamic budget filter to show cars within price range. Designed with a BMW-themed UI to support smart business decisions and enhance customer experience.

🚗 Automated University Garage Management System (AUGMS) — A smart platform that automates university parking through license plate verification and sensor integration. Features include real-time spot tracking, user registration, admin dashboard, and optional EV charging and car cleaning services.

This project connects multiple sensors to an ESP32 to create a small-scale smart car monitoring system. Data from sensors (DHT11, GPS, Hall speed sensor, MQ135, and HC-SR04) are read in real time and sent via serial (JSON format) to a Python-based dashboard.

🚗🔐 Smart Car Parking System (IoT Project): An IoT-based parking system that uses real-time sensors 🛰️ to detect available parking spots 🅿️. Users can easily find and reserve a space via a mobile app 📱 and cloud dashboard ☁️, reducing time ⏳ and traffic congestion 🚦.

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smart dashboard for a car

E-Commerce Dashboard

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Adv networking project. Display car data.

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SmartCarDashboard: A sleek PyQt5-based GUI for a smart car dashboard. Features real-time gauges, music player, map with routing, webcam, and multimedia. Customizable, modern interface for an enhanced driving experience.

Exported from Caffeine project: Smart Car Dashboard

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