Events

Autown 2023

This symposium serves as a dynamic platform where industry leaders unveil their latest innovations and collaborate with some of the brightest students in the field. Embracing the spirit of MADE, participants will dive into exciting competitions across Material technologies, ADAS Systems and Electric Vehicle Advancements. AUTOwn'23 is not just an event; it's a movement where industry excellence meets student creativity to shape the future of technology. 

Workshop on ADAS & Intelligent Systems - Nov 2024

Autown 2024

Join us at WILP AUTOwn'24, proudly showcasing the theme "MADE - Material Technologies and Advanced Materials, ADAS, and Electric Vehicles." This symposium serves as a dynamic platform where industry leaders unveil their latest innovations and collaborate with some of the brightest students in the field. Embracing the spirit of MADE, participants will dive into exciting competitions across Material technologies, ADAS Systems and Electric Vehicle Advancements. AUTOwn'24 is not just an event; it's a movement where industry excellence meets student creativity to shape the future of technology. Explore new horizons, collaborate on revolutionary ideas, and lead the charge in the MADE revolution at BITS AUTOwn'24. Be part of a community that innovates, educates, and transforms. Participation Open to All. Exicting Cash Prize for the Winners ! Participation certificate will be provided for all the participants. Support for hardware/ software will be extended to exceptional Projects, all subject to approval from technical experts.

Visit  https://bitsautown.com/

Winners of AUTOwn - 2024

Prize Winning Projects of AUTOwn - 2024 - ADAS

                                                    FIRST PRIZE - Rs.10,000/-

Project Title: License Detection for Parking and Tolling Solutions.

Description: 

To design and implement a cost effective, real time License Plate Recognition system for automated tolling and parking management using affordable hardware and open source software. 

The study and implementation of license plate recognition can:

• Eliminate the need for physical tickets or access cards.

• Enable seamless entry/exit and automated payment processing.

• Ensures restricted-area access for authorized vehicles only, improving safety in sensitive zones.

• Facilitates automatic toll collection

• Enables better traffic flow management and infrastructure planning.

Team Members:

• Pratham M Rao (R V College of Engineering)

• Prem M (R V College of Engineering)

• M V Amarnath (R V College of Engineering)

• Riithun S (R V College of Engineering)

                                                    SECOND PRIZE - Rs.5,000/-

Project Title: Voice Controlled Vehicle

Description: 

It is an objective to make a voice-activated control system for cars which can make driving a car totally free from human involvement. The use of voice will control navigation, radio, and more because this system minimizes human interaction with the car and enhances safety in driving.

The project will:

• Improve user convenience with key features control using voice recognition technology.

• Minimize driver distraction relating to road safety as a result of manually adjusted controls.

• Present Integrated Voice Recognition Systems with Automotive Systems for the Real-time Execution of Commands.

Team Members:

• Nikhil A E (R V College of Engineering)

• Sujan S (R V College of Engineering)

• Shridattha M Hebbar (R V College of Engineering)

• Poornachandra B R (R V College of Engineering)

                                                    THIRD PRIZE - Rs.3,000/-

Project Title: Driver Facial Emotion Recognition

Description: 

This project employs a Convolutional Neural Network (CNN) to analyze drivers' facial expressions and detect emotions in real-time. It aims to enhance safety by triggering automated responses, such as calling emergency services during distress. Additionally, the system improves interior comfort by activating actions like spraying perfume based on detected emotions. Arduino hardware integration ensures seamless execution of these features. This innovation addresses driver fatigue and emotional states to reduce road accidents and improve the driving experience.

Team Members:

• Vansh Maheshwari (BITS Pilani, Hyderabad Campus)

Workshop on Immersive Learning- Jan 2025