murtaza kamal

Smartest urban traffic management system includes detection and classification of vehicles as well as no of vehicles in a video to enable smart routing and controlling of urban traffic to make it predictable and reliable for all traffic participants. The main challenging task is to detect vehicles from a real-time video. Smartest urban traffic management system proposes OpenCV as computer vision library and YOLO as object detection algorithm.

The goal of this seminar is to extrapolating the concept of IoT to the automotive industry, we can summarize it into three main branches. On one side, we have the connectivity between vehicles (vehicle-to-vehicle). On the second side we have the connectivity between vehicles with external infrastructure (vehicle-to-infrastructure). And on the third side we have the connectivity with external hardware or external devices (vehicle-to-devices).

Face detection and recognition system takes its input as image either directly as a image or capture a image from the video stream continuously and analyse it before detect and recognize it. This application is widely used in social media sites, Bio metric identification, Security, Surveillance & Safety product, advertising and marketing and many other field as well.

The goal of this project is to make simulator (insulin pump)in which you can check the insulin and glucagon level (of those patient which are suffering from diabetes) as safety critical system. It checks your blood sugar level and shows results accordingly that your body need insulin or glucagon it depends on the patient activity like eating, jogging, fasting etc.

- Data Mining - Introductory Data Analysis - Multivariate Data Analysis - Object Detection using Yolo Model in Tensorflow - Safety Critical Computer Systems - Advanced Software Testing - Advanced IT Security - Pattern Oriented Software Architecture

- Data Mining - Object oriented programming language - Software project management - Algorithm and analysis - Database