Vehicle identification and categorization using AI-powered real time video analytics
Human vision is a powerful tool that allows us to accurately perceive the world around us. The rapid evolution of artificial intelligence has given us the ability to develop something just as powerful- computer vision. This scientific field encompasses the superior level of understanding that computers use to make sense of digital images or videos.
The ground-breaking discoveries in the fields of deep learning and neural
networks have allowed computer vision to reach a point where it can surpass
humans when it comes to identifying and categorizing objects. We can now use
advanced video analytics systems powered by artificial intelligence to scan
through scores of vehicle identification numbers and categorize them in real
time.
AI Video analytics can be a massive boon in vehicle identification by
carrying out tasks such as:
· Image
categorization: Using AI to filter through a variety of predetermined
categories (car, bus, truck, bike, scooter etc.) to identify a particular
object in an image
· Location services:
Such solutions can be used in the location of a particular vehicle
· Vehicle
identification: A target vehicle can be identified and pinpointed in a variety
of images
· Vehicle tracking:
Target vehicles can be tracked in real time
The following industries are just a few examples of where vehicle
identification and categorization using AI-powered real time video analytics
can find its place in modern society-
Transportation
The concept of smart cities is on the rise in India, and video analytics
can facilitate the integration of smooth sailing traffic into the creation of
smart cities. Unchecked traffic can lead to serious road accidents and traffic
jams. Smart video analytics solutions can put a stop to such problems by
identifying vehicles that ignore traffic rules and go above speed limits. They
can also identify and categorize vehicles like buses, cars, trucks and bikes to
provide deeper insights into traffic congestion in real time.
Video analytics can also be used to create intelligent parking systems.
Cameras can identify the number of vehicles in a particular parking lot and
subsequently find unoccupied spaces that are available for parking. This information
can be conveyed via communication systems in real time.
A good case study for such a solution would be the IoT startup based in
France called Parkisseo. They have made use of sensors in various parking
spaces to detect whether the area is occupied by a vehicle. This data is then
sent over via LPWA (Low Power Wide Area) network technology. Drivers looking
for a spot to park their car can find a space by accessing the web or using an
application that will guide them to the closest free parking spot.
Security
Video surveillance has been a tried and tested method of providing
security for a long time now. Earlier, the most common method of video
surveillance would involve security guards hunched over multiple screens of
real time video footage. The constant innovation in the field of video
analytics means that we have a much more efficient and reliable method of remote
video monitoring.
All businesses and residential developers consider safety as a top
priority, and rightly so. The ability to detect the entry of unauthorized
vehicles into a particular premises can put these concerns for security to
rest, and the use of artificial intelligence to carry out this identification
process has become increasingly common. License plate recognition techniques
can be employed to grant access to authorized personnel into areas that require
protection from the general public.
For example, an apartment complex can now use video analytics to
differentiate between a resident and a visitor. Residential vehicles can be let
in automatically, while visitor vehicles can be flagged and recorded in the
system.
An example of a use case for the security of a large polyethylene plant
built in Central America has been cited below to give you a better insight into
the untapped power of security systems fuelled by artificial intelligence-
A video analytics system containing over sixty hazardous cameras was
brought in for this project. The goal behind the installation of these
surveillance devices was for safety monitoring and site security.
IVC worked with a major analytics software company to provide an
integrated solution that addressed the following concerns:
- Activity
in critical areas
- Crossing
of virtual trip wires
- Intrusion
- Object
left behind
- Object
taken
- Loitering
The real time video streaming footage from the cameras that were placed
along the circumference of the facility would be sent to the IVC Relay Server.
This server would send across all this information to the concerned clients. If
the analytic software detects any unusual activity, it sends an HTTP message to
the IVC Alarm Server, which then determines which alarm response to initiate.
Law
Enforcement
Needless to say, video analytics can help enforce laws
and make public spaces safer for the community. Using video footage empowered
by artificial intelligence, officials can have access to myriad information
that includes weather, traffic congestion, road accidents etc. Such algorithms
can also help identify lost or stolen vehicles by running plate numbers through
a database and matching it with real time footage.
In the city of New York, the NYPD often makes use of
real time footage to receive insights to improve their traffic management
systems and track suspected vehicles through video analytics.
Using a video surveillance technology that has the
boosted benefit of artificial intelligence can help a number of organizations
achieve their goals for a secure and productive working environment. It reduces
the need for human intervention and increases the efficiency of a company’s
daily workflow. At Accubits, we are committed to providing customized video
analytics systems that cater to your individual needs. Don’t hesitate to reach
out to us if you have any queries regarding how we can integrate our modern
technology solutions with your modern world business problems.
Comments
Post a Comment