Shahrukh
FAST
· 2020
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i16 - 0034
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Academic
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CGPA
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Year
2020
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Career
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Skills
Python, Java, C++, OpenCV, Raspberry Pi, Arduino, Android Studio, IAR VisualState, UPPAAL
Verbatim text
The exact text the LLM saw on the page (or the booklet text from the old import).
This is what powers semantic search.
KARAVAN (Smart Traffic Flow – Design and Verification) KARAVAN is an IoT based caravan of cars (rovers) that move in a line while maintaining their lane and following traffic signal rules i.e. stopping at Red Sign and move at Green Sign. The project features 2 cars: the leading car and the following car. The following car follows the leading car while maintaining a safe distance from it. The rovers use image processing and inter vehicular communication over TCP/IP to move on the track. Each rover is equipped with a Raspberry Pi and an Arduino. An Android application monitors the location of the caravan using a BLE based Indoor Positioning System. The application also allows the user to set a destination for the caravan to which it moves to. The system’s design has been validated using IAR VisualState and verified using UPPAAL tool. Features include: 2 rovers moving in a line on the track while maintaining their lane and following traffic signals The rovers keep a safe distance among them A BLE based IPS using RSSI signal strength to calculate position Android Application to monitor current status and position of the caravan. Android Application to set the destination of the caravan. Technology Used: Python, Java, C++, OpenCV, Raspberry Pi, Arduino, Android Studio, IAR VisualState, UPPAAL Supervisor Name: Dr. Adnan Tariq Group Members: Shahrukh (i16 - 0034)
AI enrichment
Shahrukh contributed to the KARAVAN project, an IoT-based system for autonomous caravan navigation using Raspberry Pi, Arduino, and image processing. The work involved implementing inter-vehicular communication, BLE indoor positioning, and an Android monitoring application, with system design validated via IAR VisualState and UPPAAL.
Skills (AI)
["Python", "Java", "C++", "OpenCV", "Raspberry Pi", "Arduino", "Android Studio", "IAR VisualState", "UPPAAL", "BLE Indoor Positioning", "Image Processing", "TCP/IP Communication"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2020 (Final Complete) (1).pdfFrom job #23 page 204
Created: 1778170703