Project Outline/Description
The “Design and Implementation of Black Box using Accelerometer and Accidental Identification in Multimodal Transport” project aims to create a low-cost, efficient and reliable system for accident identification and data collection in multimodal transport vehicles. The system would use an accelerometer sensor to detect accidents and a black box to record data such as vehicle speed, location, and other relevant information.
The project will begin with the design and selection of hardware components such as the accelerometer sensor, microcontroller, and memory storage. The accelerometer sensor will be used to detect accidents and the microcontroller will be responsible for processing the sensor data and storing it in the memory storage.
Next, the software for the system will be developed, including the sensor driver, communication stack, and algorithms for data analysis. This would also include the integration of GPS module to record the location of the vehicle during the accident.
Once the system is fully functional, it will be tested and debugged to ensure that it is functioning properly. After that the system will be deployed in a real-world scenario in the selected multimodal transport vehicles. This includes installation of the system in the vehicles, as well as training for the operators on how to use the system.
Throughout the project, students will learn about various technologies, such as accelerometer sensor, microcontroller, memory storage, and GPS, as well as the application of these technologies in the field of accident identification and data collection in multimodal transport vehicles. Additionally, they will gain practical experience in project development, from requirement gathering, designing, implementation, testing and deploying the system.
The hardware requirements for this project would include:
- Accelerometer sensor
- Microcontroller
- Memory storage (EEPROM or SD card)
- GPS module
- Power supply
The software requirements for this project would include:
- Sensor driver
Communication stack - Data analysis algorithms
- Programming tools such as Arduino or Raspberry Pi
- GPS data analysis and visualization tools.
Overall, this project will provide students with a comprehensive understanding of the use of accelerometer sensors, data collection and analysis, and how to implement IoT based systems in a real-world scenario.
Hardware and software requirements for project implementation:
- Accelerometer sensor: to detect accidents and record data such as vehicle speed, location, and other relevant information.
- Microcontroller: to process sensor data and store it in memory storage.
- Memory storage: such as EEPROM or SD card, to store the data collected from the accelerometer sensor.
- GPS module: to record the location of the vehicle during the accident.
- Power supply: such as batteries or solar panels, to power the system
- Sensor driver: to interface with the accelerometer sensor and gather data
- Communication stack: to transmit data from the sensor to the microcontroller
- Data analysis algorithms: to process the data and identify patterns and opportunities for optimization
- Programming tools: such as Arduino or Raspberry Pi, to program the microcontroller
- GPS data analysis and visualization tools: To display the location of the vehicle during the accident.
Note : the hardware and software that could be used for the project, and the actual requirements may vary depending on the specific goals and requirements of the project.
What You Will Learn? By working on the project
- IoT technologies: students will learn about the different types of accelerometer sensors and how to use them in a real-world scenario. They will also learn about the use of microcontroller and memory storage for data collection and storage.
- Data analysis: students will learn how to collect, process and analyze data using various algorithms and data visualization tools.
- Programming: students will learn how to program microcontrollers and communication modules using programming languages such as C++, Python, or JavaScript, and how to use various software development tools.
- GPS and location-based services: Students will learn how to integrate and use GPS module in their projects, as well as how to gather and analyze location-based data.
- Project development: students will gain experience in project development, from requirement gathering, designing, implementation, testing and deploying the system.
- Multimodal Transport: students will learn about the different types of multimodal transport and how IoT technologies can be used to improve the safety and security of these transport systems.
- Portfolio Building: Students will learn how to document, present, and showcase their project work which is important for their career and job opportunities.
Overall, this project will provide students with a comprehensive understanding of IoT technologies and their application in the field of accident identification and data collection in multimodal transport, as well as hands-on experience in the development and implementation of IoT-based systems.
Curriculum
- 8 Sections
- 19 Lessons
- 15 Hours
- Module 1: Introduction to IoT and Multimodal Transport3
- Module 2: Hardware and software design3
- Module 3: Data Analysis and Visualization3
- Module 4: Cloud Computing3
- Module 5: Implementation and testing3
- Module 6: Maintenance and monitoring2
- Module 7: Emerging Technologies1
- Module 8: Building Portfolio1
