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Muhammad Saad

FAST · 2021 · i17 - 0030
Email
Phone
LinkedIn
GitHub

Academic

Program
CGPA
Year
2021
Education
Address
DOB

Career

Current role
Target role
Skills
Python, Flask, HTML, PyCharm, Google Colab

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.
Vehicle Speed Checking System 
Road accidents have been very common in the present world with the prime cause being the 
careless driving. Over speeding vehicles are major issues for road safety and needs proper 
addressing to minimize the accidents. Excessive Speed is a factor in one third of all fatal crashes.
Therefore, to minimize such road accidents, we have developed a system to detect the vehicles 
which are being driven above the given maximum speed limit that the respective roads or highway
limits. The overall project is divided in three categories: speed detection, image acquisition and
transfer and image processing.  
Following are the features of VSCS: 
 The system detects the speed of the moving vehicles on roads/highways. 
 It detects the vehicle whose speed exceeds the speed limit of the highway/road on which the
vehicle is moving. 
 It detects the number plate of the vehicle whose speed exceeds the speed limit. 
 The system recognizes the registration number / licence plate number of the vehicle. 
 System recognizes the brand of the vehicle. 
 The system recognizes the type of the moving vehicle. 
 
 
 
 
 
 
 
 
Technology Used: 
Python, Flask, HTML, 
PyCharm, Google Colab 
Supervisor Name: 
Dr. Irum Inayat 
Group Members:   
Syed Ali Javed (i16 - 0267) 
Muhammad Saad (i17 - 0030) 
                                                                                                                                     Mian Khubaib (i17 - 0247)

AI enrichment

Muhammad Saad is a student who contributed to a Vehicle Speed Checking System project focused on detecting speeding vehicles and recognizing license plates. The project utilized Python, Flask, and image processing techniques to identify vehicle attributes and enforce speed limits.
Skills (AI)
["Python", "Flask", "HTML", "Image Processing", "Vehicle Detection", "License Plate Recognition"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 243
Created: 1778170890