Browsing by Author "Faizan Ali"

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    Development of a multipurpose solar powered agricultural robot for autonomous operations
    (UMT Lahore, 2020-09) Nashit Raza; Faizan Ali; Khurram Habib
    This proposal discusses the concept, design, and development of a multipurpose agricultural robot with autonomous driving and agricultural operation capabilities. The robot is capable of performing independent navigation and automated agricultural tasks. The design of the agricultural robot is based on an electronic and mechanical (mechatronics) platform that performs advanced agricultural processes. This electromechanical vehicle is controlled by a wireless remote, steered by a DC motor to drive the wheels, and powered by a dry battery charged with a solar panel installed on the vehicle. Inputs received from various field sensors are transferred to the network controller, which adjusts the control system to achieve the desired field output. Research is being conducted to assist farmers by reducing working hours in agricultural activities through automation. This study provides an alternative to existing practices by substituting labor-intensive tasks in the agricultural sector while offering a cost-effective solution for self-employment.
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    Dot Matrix LED Display using GSM
    (UMT Lahore, 2011-08-12) Fahad Asmat; Faizan Ali; Usman Nazar
    Led technology has recently been developed into a number of highly functional lighting applications and products which is now replacing traditional inefficient lighting sources. In a time when energy costs are increasing, led technology is the solution for now and the future. The aim is to enhance and motivate the use of this led technology in a display system which can be used wirelessly using the most famous wireless communication technology, gsm. Using gsm module and its interfacing with microcontrollers and led dot-matrix clusters we intended to design a dot-matrix display system that can be operated using simple gsm based handset.
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    A publicly available rgb-d data set of Muslim prayer postures recorded using microsoft kinect for windows
    (Journal of Basic and Applied Scientific Research, 2014) Bilal Hassan; Usman Akram; Saifullah; Mudassar Naseer; Faizan Ali; Shoaib Akhter; Muhammad Ajmal
    In computer vision applications, availability of dataset for the training and testing of any newly developed system is always a key requirement. Most of the time, people use dataset built by other researchers. In case of unavailability of particular type of dataset, they built the dataset by their own. The datasets for the evaluation of computer vision systems could be of various types. These could be of thumb impressions, retinal scans or images of human activities/postures. The prayer performed by Muslim community also comprises of activities/postures which are the subset of the activities performed by an individual. In order to train and test the human activity recognition system on prayer activities/postures, the availability of prayer dataset is much needed. To the best of our knowledge, no such dataset is available in this area. In order to fulfill this requirement, we have recorded a dataset of prayer postures for an individual in a closed environment. The dataset comprises of RGB, Depth and skeleton frames of an individual from different pose and varying distance. We have recorded this dataset by using Microsoft Kinect for Windows sensor. We have captured more than 1700 RGB, Depth and skeleton frames of different actions comprises of positive and negative examples. We have labeled data and provided in various file formats like .xls, .mat and .arff. We are hopeful that the dataset developed by us will not only enforce the research community working on Human activity/posture recognition to test their system on this particular type of dataset but also to add more to the dataset. It will also help provide them understanding that how to record their own dataset using Kinect if need arises. Apart from that, this wills also a publicly available bench mark in this particular domain.