Advance driving analysis and control
- 1. E D G E C O M P U T I N G S O L U T I O N F O R V E H I C L E S Advance Driving Analysis & Control
- 2. Project Overview 1C O N T E N T S 2 Architecture Applications 3 Future Aspect 4
- 3. P R O J E C T O V E R V I E W
- 4. The automotive industry transformation is happening now. Today's cars are need to be connected to offer emergency roadside assistance, get real-time car monitoring alerts etc., but this just the start, it has more applications in coming future. The automobile industry is on to move to self-driving automobile industry, and the driving force behind this is the Internet of Things (IoT). I N S P I R A T I O N F O R T H E P R O J E C T IoT Vehicles +
- 5. Our Project is entitled under managing vehicle functionality For this we need to capture data from sensors The vehicle functionality will be controlled remotely by user. O U R O B J E C T I V E
- 6. H A R D W A R E U S E D STM 32 F4 Discovery Board CAN Transceiver Beagle Bone Black
- 7. A R C H I T E C T U R E
- 8. The project is about using CAN Bus along with transceivers to detect sensor data. The data collected is sent to gateway beagle bone black which collects the data and is sent to server. Server runs on cloud Amazon AWS. The implementation can be seen on an ionic app by end user which accesses through server on cloud. Working
- 9. F U N C T I O N A L D I A G R A M
- 10. W O R K I N G O F C A N B U S CAN BUS STM32 ECU GATEWAY BBB DATA CENTER CLOUD AWS
- 11. P R O T O C O L S U S E D
- 12. REpresentational State Transfer is a set of constraints that ensure a scalable, fault- tolerant and easily extensible system. Communication Protocols M Q T T H T T P MQTT is an ISO standard publish- subscribe-based messaging protocol. It is designed for connection with remote locations where bandwidth is limited.
- 13. MEAN is a free and open-source JavaScript software stack for building dynamic web sites and web applications. The MEAN stack is MongoDB, Express.js, AngularJS, and Node.js M E A N S T A C K Software for Server
- 14. A P P L I C A T I O N S
- 15. The data collected from the sensors can be sent over cloud where analysis will be employed. The analysis would help the company in improving the product. The data can help the insurance companies. User can remotely control the car. Applications
- 16. C O N N E C T I N G N O T O N L Y C A R S Applications C A N A L S O F O R P R O S T H E T I C L I M B S The CANBUS applications is not limited to cars in vehicles but we can extend its applications to ships, air crafts. Since it takes only a pair of twisted cables to communicate among multiple nodes, it has its applications in artificial limbs
- 17. F U T U R E A S P E C T S
- 18. This project when implemented in real time environment would gather more sensor data Data analytics can be deployed on each machine. The project can be enhanced for over the air hardware updates. Remotely controlling cars can help in preventing accidents as the cars can also be monitored over cloud and hence traced. The data collected can be used to analyse the behaviour of the driver. Future scope of this project
- 19. T H A N K Y O U ! Advance Your Driving Experience with IoT
- 20. Disclaimer Created as part of PG-DIOT as Project at ACTS CDAC C R E D I T S Rajat Garg Ayush Kumar Saumya Agarwal Harshvardhan Dhanraj G U I D E D B Y Mr. Sanyam Arya