Commercially Viable Projects

Commercially Viable Research Projects of Bahria University

1. System for the Automation of Flour Mill for Weighing Process Developed by the Researchers of Bahria University

Problem Identification:

After performing detailed analysis of why flour mills industry in Pakistan is not flourishing, it was found that the major reason is pilferage of stock. The owners of flour mills had no system to get knowledge of total amount of flour being produced and relied on subordinates which were involved in stealing of the flour to be sold in black.

Solution:

The Student Researchers of Bahria University Islamabad (Software Engineering Department) has developed a System named “Automation of Flour Mill for Weighing Process” for such industries which will provide feedback to the end users about the amount of the product being processed. This System automatically fill the required weight and controls the weighing process. The System is also able to send data to end users for having a check on filling process of the product and all the corresponding parameters. The System is tested to ensure all its functionalities.

Office of Research, Innovation & Commercialization (ORIC) at Bahria University successfully commercialized this System by installing it at Sunny Floor Mill (Sector I-9, Industrial Area, Islamabad) which is a significant success for Bahria University.

2. Kido E-Learning System Developed by the Researchers of Bahria University

Problem Identification:

In Pakistan, pre-school educational process needs significant improvements due to lack of teachers, infrastructure, techniques and latest technologies.

High quality early-childhood education also known as Kindergarden (KG) education can improve a Child’s Social and Economic outcomes and establish a firm base for future education.

Solution:

Bahria University has currently donated and deployed “Kido E-Learning System” at Sky School System, Islamabad which is a school for Orphans. “Kido E-Learning System” developed by the researchers of Bahria University that provides solutions to above mentioned problems. The system, Bahria University has implemented contains digital lessons, worksheets, assessments reports. Students use their pencils to write on touch-screens, attached to the computers that have Kido E-Learning Software installed. Through digital reports generated by the software, teachers can monitor student’s performance and focus on those students who need more attention, hence, making teaching process more effective and efficient.

3. iTrack Vehicle Tracking System developed by the students of Bahria University

Problem Identification:

There are many problems being faced by the passengers of Pakistan in local/public transport and students in university busses like timings of buses, routes, directions. Some drivers of the private and government organizations are also involved in corruption like stealing the petrol from vehicles.

Solution:

iTrack is a tracking system for the student buses that provides the real-time location of the bus without any delay. The system has been developed by the students of Computer Engineering Department, Bahria University Islamabad Campus. It is an efficient and cost-effective solution with no involvement of any third party services for getting tracking assistance. It is a GPS (Global Positioning System) and GSM (Global System for Mobile communication) based system that incorporates the functionalities of both to provide a direct contact with the bus at all times, helping to monitor and keep a check on the bus for moving on the correct route. This system will also help the university management to analyze the pros and cons of the route, fuel calculation and the estimated arrival time of the bus to the next stop and to the university. The system provides a web based user friendly interface with the inclusion of Google Maps API (Application Programming Interface). Avoiding complexities, the system just provides a small node that is installed in the bus, and a computer with an internet connection to view the live stream.

 

4. Modeling, Simulation and Implementation of Prosthetic Lower Limb by the Researchers of Bahria University

Problem Identification:

Human body consist of several biological muscular system capable of performing movement tasks in different ways. Mathematical modeling and imple­mentation of these systems is one of the important and long standing problem in bio-mechanics, prosthetics, control system and robotics. In Pakistan, there are large num­ber of amputations in limbs caused due to bone cancer, massive 2005 earthquake, suicide bombers and landmines. Due to increased number of patients in limb loss, there was a need to research on prosthetic lower limb.

Solution:

In order to motivate the design of leg machines a low cast Arduino based prosthesis is developed by the student researchers of Bahria University Islamabad Campus, which is capable of human lower limb system. It features lightweight aluminum links and servo-mechanism for position control. A novel technique known as bondgraph is used to obtain state space of different movements of human leg. Stability and performance enhancement is achieved using state feedback observer controller. Subsequently, new mechanical model of human leg is proposed. Different movements of human leg have been successfully verified in mechanical leg. Mechanical leg copies the movements when commanded by the master. The results show that the mechanical model exhibits excellent tracking capability. Brain functionality can be incorporated in mechanical model to control it using brain signals.

5. Human Identification using Electrocardiogram (ECG) Signal from Wrist Mounted Sensors

Problem Identification:

Biometric systems are used to perform identification or identity verification of individuals. These systems work on the proposition that there is resemblance between two recordings coming from same individual. Use of internal biometric traits is trending due to high level of accuracy and great impossibility of forging the system.

Solution:

The system has been developed by the students of Bahria University Islamabad Campus that uses relevant information for human identification from ECG signals. The band is a wearable biometric identity device that lets you use your heart’s unique signature to authenticate and confirm the identity of the person wearing the wrist band. The designed prototype is an embedded device capable of capturing single channel ECG using an Analog Front End circuit and performs analysis on it for person identification using signal processing and machine learning methods.

6. ECG Based Cuff-Less Blood Pressure Using Average Pulse Transmit Time

Problem Identification:

Doctors are currently using the Arm Cuff to analyze the blood pressure of the patients. Currently, there is no measure available in Pakistan, to measure the blood pressure without using the arm-cuff.

Solution:

Mr. Farooq Shibli, the students of Computer Science Department of Bahria University Karachi Campuses conducted a study (in his MS thesis) to measure blood pressure without cuff. The Research is to encourage Doctors and paramedical staff to analyze blood Pressure without cuff on hand. Using ECG signal waves, time interval is the key factor which establishes the relationship between ECG signal and blood pressure. Calculation of systolic and diastolic blood pressure is possible using time interval technique. It requires ECG signal processing to calculate ECG values, signal arrival and ending time condition. The major advantage of this study is to analyze steady values of blood pressure, and make better decision of subject health condition. The presented study also suggests calculating ECG signal from human body using average pulse transmit time technique process and calculates non-invasive cuff less error free blood pressure.

7. Occluded Face Detection in Unconstraint Crowd Scene

Problem Identification:

Face verification system’s have gained significant attention in last few years due to increased security concern in public and private places.

Solution:

Face detection is the most important and initial stage in automatic face verification system. It helps to determine the existence of faces in an image and return the position and location of the face. Face verification system accuracy depends on face detection. Human faces are not always frontal and have many variations, therefore, face detection is challenging in unconstrained scenarios. One main challenge of face detection is occlusion. In this research work, a method is proposed to address this challenge in unconstrained face detection. Proposed work introduces an occluded face detection system. The Viola-Jones algorithm which is the real time frontal face detector has been adopted in the proposed approach along with new type of features called free rectangular features. Two cascade classifiers are used in which one is trained for holistic faces and second is trained on half occluded faces, both of the classifiers are used in parallel to work in unconfined scene. Additionally, for improvement the correctness and proficiency of the system, skin color models are applied for development and removing of false positive detection. Three experiments had been carried out to test the effectiveness of the system. First experiment is performed on public database, second experiment on the unconstrained crowd images collected through internet and third experiment on uncrowded images. Qualitative evaluation on second and third experiment has been performed. The experimental results showed that the system is effective in detecting the half occluded and holistic faces in unconstrained scene. Although there is still need for improvement to out of focus or, blurred faces.

8. Bookworm (An Incubatee Company of Bahria University Karachi Campus)

Problem Identification:

It was during his university days that Talha Bin Shuja (student of Bahria University Karachi Campus) witnessed first-hand the precipitous decline in reading habits amongst Pakistani youth. While his peers studied hard, they had little interest in exploring areas beyond their course requirements. There was no curiosity in literature, history, or current affairs. Furthermore, the mandatory course books were also expensive, leaving cash-strapped students with little disposable income to spend elsewhere.

Solution:

Bookworm is a start-up initiated by two students of Bahria University Karachi Campus named Talha Bin Shuja and Asad Khan, in pursuit of better Pakistan.

Together, they started with Bookworm, an ecommerce store concentrating on books and magazines. Titles on the site were significantly cheaper than those found in larger retailers, and they hoped that this difference in price would help startup gain traction and slow the decline in reading habits.

The sharing model, a “Tree Swap System”, is a fairly unique idea. Whenever users share a book with someone else on the portal, they are rewarded with a “Bookworm Coin”, which enables them to request a book from another user. The coin is then transferred, and the cycle continues.

They believe this is the first time such a concept has been introduced in Pakistan and plans on several iterations in order to implement a monetization strategy. While swaps will always be free, users will be able to purchase a Bookworm coin if they do not want to give up one of their books in return. In the future, the coins will also be redeemable at retailers and other outlets.

9. Launching of “The 4th Floor App” By Macro Innovative Technologies (MAT), An Incubatee Company of Business Incubation Centre (BIC), Bahria University Islamabad Campus

Problem Identification:

In the shopping malls, it is usually difficult to select the good food which is also cost effective among the variety of foods items available at different restaurants/food courts.

Solution:

The “4th Floor App” was introduced by Macro Innovative Technologies (MAT), an Incubatee Company at Business Incubation Centre (BIC), Bahria University Islamabad Campus. The “4th Floor App” provides a solution for the customers at different restaurants to select menu and order food online by using this app on their android cell phones.

The “4th Floor App” was commercially launched by Macro Innovative Technologies (MAT) at the Centaurus Mall, Islamabad, in collaboration with the Centaurus Mall – Islamabad held on 1st May, 2015. This was a good opportunity for the incubatee company of Business Incubation Centre (BU Islamabad Campus) to showcase its App for potential users. Furthermore, it was an opportunity for BU to introduce its incubatee firm at that platform and in other Malls.