The main focus of the Smart City Lab, NCAI is to solve the problem of traffic
congestion. It is one of the major problems faced by the citizens of Karachi and the
real-time detection of road traffic congestion may be used in traffic control
systems. In order to provide the least congestion route to the emergency vehicles by
implementation of the plan, the team has developed modules for vehicle detection,
classification and number plate detection. The congestion conditions depend on the
type of roads such as single lane road or multi-lane road, heavily crowded road or
less crowded road. The benefits of the Traffic Management System are reduction in
congestion, delays in collisions, less time to travel, least consumption of fuel and
less transportation cost. Also, it leads to lesser road accidents in the future.
Vehicle Detection and Classification
Number Plate Detection
The Smart City Lab, NCAI is planning to work on the Citi-Pulse Project to solve the
issues of the society where focus of attention will be traffic management, waste
management and crowd management. Major benefits include improved journey times,
improved air quality from reducing air pollution generated by slow-moving traffic,
reduced delays to public transport, keeps the environment clean and fresh, waste
management will help to earn money by creating employment opportunities, traffic
speed control and protection of historic and environmentally-sensitive areas. We
will also deploy weather stations in different areas of the city. There will be a
mega portal that will show multiple types of maps. The data extracted from the maps,
will help for visualization and analysis. It will help in notifying the drivers on
roads whether to take that route or not like in northern areas of Pakistan where
weather takes unpredictable turns either in the form of heavy snowfall, land sliding
or even rainfall throughout the year.
Visual Positioning System
To align the virtual and the physical world, the Smart City Lab, NCAI developed a Visual
Positioning System. Karachi is a thickly populated city so these VPS can be used to
solve the major problems of our city. There is no proper waste management and traffic
management in the city. The VPS can help in traffic management. By using the VPS, the
user can quickly find location on the screen with the best route to reach from one part
of the city to another, the management board can locate the areas more easily that need
to be cleaned, people can reach the hospital easily and find the location of various
departments of the hospital on the screen. Through VPS one can easily understand the
direction just by looking at the screen because of the visual display. The Smart
Positioning System can help in managing the activities of the city more easily. It can
also help in the planning process.
Smart Irrigation System
Smart Irrigation System is the latest IoT technology which is helpful and leads to ease
of farming. The engineers at the Smart City Lab has developed the IoT devices that will
improve the process of Smart Irrigation. Approximately, 70% of the water withdrawn from
various fresh water sources is used for agricultural activities. Majority of the water
is wasted due to over watering caused by inefficiencies in traditional irrigation
methods and systems.
Adopting the smart irrigation will be a best solution. This system monitors soil
conditions and plant water use. By using this smart irrigation concept we can bring back
the greenery which is going to be vanish because of the rapid urbanization. The system
will help to get farmers good yield.
The team at the Smart City Lab is making a secure application. The purpose of developing
a secure app is to easily detect the fake products. This could be done by installing the
application on the phone and scanning the logo of the product. Through the secure app,
one can easily get the information about the brand. The application will scan a unique
encrypted image printed on the product.
Our team has made a logo that different companies will include on the packing of their
products. The secure app will scan the logo. This app is extremely beneficial for
pharmaceutical companies, clothing brands and daily food products.
Face Check App
The Smart City Lab has successfully developed the module for face recognition. The lab
has made a Face Check App. The use of this new technology will change the way we live
making things more secured. This special feature will remove the traditional way of
entering a password on the phone and bank accounts, marking attendance at office and
detecting the stranger entering the building.
The engineers at the Smart City Lab under National Centre of Artificial Intelligence
(NCAI) at NED University of Engineering and Technology are working on Stereo Vision to
develop collision avoidance module which will be used in the autonomous cars to detect
the objects around the car on the basis of 3-Dimensions. Stereo Vision will help to
solve the major problem of the drivers while driving by detecting ruts on roads. It can
be used as a part of the Advanced Driving Assistance System (ADAS) for safe driving. It
will be extremely effective for passive sensing and easily interpret the physical
environment around. The module based on stereo vision will help to prevent accidents and
AI Kit for Kids
The Smart City Lab, NCAI encourages not only university students but also young children
to develop their keen interest in AI. The AI Kits for Kids have a kids game which
consists of modules for Object detection, Emotion detection, Face recognition and Face
detection. It also consists of a game; flappy bird along with a music player and a
gallery. The game is designed to capture pictures using the picture capture module and
to experience the power of AI. This game will develop a thirst for knowledge in children
with the help of games and increase their interest in AI. Younger generation have a
sharp and intellectual mind and they are smart enough to learn new strategies related to
AI. The aim of Smart City Lab is to teach them new concepts with the help of games based
on AI. It nourishes emotional intelligence and escalates mental activity skills by
creating curiosity of learning new things in young minds.
The Smart City Lab, NCAI brings an ultimate solution to fulfill the need of monitoring
during Online learning sessions with 99% accuracy. AI Proctor provides powerful
automated time tracking capabilities. The AI proctor delivers fully-automated identity
verification plus data recording. The recorded proctoring data includes video, ongoing
activity and desktop screenshots which will be available on the integrity review page
for instructors for self-review. The Advantages of AI Proctor is that It can detect any
type of cheating, minimizes the chances of faking identities to get third-party
assistance, Screen sharing to another computer would be prohibited during online exams
with a good time tracking tool where the freelancers and contractors have concrete proof
of time spent when billing clients, employees will be held accountable for their output
each day. Monitoring features of an AI Proctor has strict privacy controls to ensure the
security of your employees’ information as our product gives complete access to the
buyer and detailed reports to keep track of all the activities of your staff.
1-does an AI Proctor detect cheating?
By recording proctoring data which includes video, ongoing activity and desktop
screenshots of the students. 2-How does a remote AI proctor work?
AI Proctor remotely monitors the online sessions using face recognition technique
and eye ball
tracking. What is the benefit for introducing AI Proctor service in Pakistan?
As it says, Necessity is the mother of invention so this service provides live
monitoring and it
will help not only in academics but also in other work forums and this will give a
Pakistani economy in the AI field. What will be the advantage of launching Remote AI proctor online service in
If this service is launched in Pakistan then we do not need to buy a software from
abroad as it is
The Smart city lab, NCAI aims to lead the innovation in the automotive sector of
Pakistan. We have proceeded to gather real-world data with the help of state-of-the-art
cameras and equipment and have shared a glimpse of our data collection and analysis. The
Autonomous Vehicle, as the name suggests, will be able to drive without human
interaction; a situation most suitable for people not comfortable with driving,
patients, and the elderly. AV also becomes a more preferable option in the long future
due to its being less prone to accidents; frequently arising due to human error. In a
nutshell, Smart City lab NCAI envisions making Pakistan technologically at par with the
world with solutions unique to its dynamics.
The Smart City Lab, NCAI not only provides internship opportunities to the students of
university but also offers the chance to other individuals through the Internship
connects both the employer and employee on one platform so that employers can be
to potential future employees, called interns, to work at a company for a fixed period
Interns are usually undergraduates’ students who are in search of internships during
summer or winter breaks. So, they search for internships that last between four weeks to
weeks. Internships are usually part-time if offered during a university semester and
offered during the vacation periods. Keeping all the above things in mind, Internship
facilitates in this regard. Students/internee and employers are registered on the portal
students can easily approach their particular mentor/employee. This will help in
bridging the gap
between the educational institutes and industries through communication where they can
transform their theoretical knowledge into practical experience.
1-What differentiates your internship portal with other portals providing the
Our Internship Portal provides communication facilities according to interest and
choice of an
individual either in industrial sector or educational institutions.
Rice Quality Analyzer
Smart City Lab, NCAI has developed a solution named Grain Scan that can reliably
identify the length, width of the rice, Broken rice percentage, Total weight of
the sample whereas our solution also detects the Chalky and yellow grains as
well as their weighted Percentages.
The Smart City Lab, NCAI has successfully developed a system namely Rice Quality
overcome the issues faced by exporters when grains are exported.
Quality parameters of
products are characterized and reviewed into various evaluations. Since these grains are
exported, physical evaluation is tedious, might be changing outcomes and costly. A
quality check takes approximately 1 hour to analyze 10 grams of Rice grain sample.
Consequently, exporters usually face rejection for their grain or receive less payment
exports. Rice Quality Analyzer identifies different parameters like average length,
average width,of sample, whole grain, aspect ratio to facilitate the exporters in terms
of money by improving the quality inspection and decreasing the human error. Thus, Rice
Quality Analyzer is time saving, gives accuracy results up to 99% and one-time
investment which leads to cost efficiency and an increment to the exports of Pakistan.
1-Rice Quality Analyzer will decrease human labour so don’t you think they can
lose their job
Yes, they can work on fields and learn some new skills. 2-How is it beneficial for the local Rice Quality seller?
It is equally beneficial for local sellers too as this software is not taking much
time in evaluating
Pet Bottle Collector
A Pet bottle collector also called a reverse
vending machine is a machine/container
which accepts empty beverage used
plastic bottles from the people for purpose
The benefits of the Pet bottle Collector are:
● Ensure clean and usable quality
Reduce need for raw materials in making
● Keeps litter and waste out of
oceans and streets.
● Reduce time and mess of staff
handling and counting containers.
● Ensure recycling stations take up
physical space on site.
● Give more storage capacity with
compaction and reduces transport needs
● Are easy for operators to handle,
Development of Neural Sensor Network
Decision Support System for Water Resource Management Using AI & IoT
Pakistan's principal natural resources are fertile soil and water; thus,
agriculture is viewed as the foundation of its economy. Sindh has an
agriculture-based economy, and produces a vast number of crops. Due to
the absence of the monsoons, its limited water supply leads to the scarcity
of basic crops. The main goal of this study is to determine the optimal
solution in IoT based irrigation to bridge the gap between the utmost usage
of water to maximize yield of crops. The main objective is to design an
expert system to automate the process of estimating water supply to the
field. It will be evaluated by implementing a decision support system to
decide how much water should be provided. We will use an Intelligent
Decision Support System (IDSS) because it is a decision support system
that makes immense utilization of artificial intelligence (AI) techniques.
Therefore, the study concluded that the current utilization of water for
irrigation system can be minimized extensively while keeping up the yield by
applying IoT based irrigation scheduling methods.
Green Space Detection and Trees Count
Analysis of Pakistan
Using Satellite Imagery and Deep Learning
Trees and other forms of greenery and plantation are vital for the survival
of living things on Earth. Trees not only provide us with oxygen for our
respiration and absorb carbon dioxide, but they help to stabilize the soil,
balance the ecosystem, and are also an active food source for humans and
animals alike. Moreover, wood from the trees is used to make paper, houses,
furniture, and tools. Unfortunately, the area occupied by plants is quickly
reducing due to deforestation and overpopulation. Therefore, a system is
required which can determine and analyze the amount of plantation there is
to be in an area.
The focus of this study is to gather satellite image data for Pakistan; then
analyze and process it to recommend the right ratio of greenery. Green Area
Detector is supposed to be a concept to fight Air Pollution, lack of
plantation, and deforestation in any part of the world. It will be designed
to generate information about the specified surroundings. Hence, the study
aims to provide green and non-green parts in any part of the world with a
percentage of the green area after analysis.
Intelligent Third Umpire
Review Decision Using
The Artificial Intelligence, Machine Learning is allowing
sports boards and clubs to use technology to generate and use a variety of data
samples to analyse player’s performance and to enhance accuracy of cricket rules
for taking decisions. This in turn can significantly tackle the challenges faced by
umpires’ jury for accurate levels of decision making especially in critical decisions
regarding Out/Not Out; his decision has to be robust and quick’s as to make the
game of cricket much fairer and immediate. This research proposal introduces
machine learning and sound analysis, and a methodology with voice sensing
decisions for stumps that may have the future prospective to support other rules by
using the data collected from live sports