STA Functional Capabilities :
- Vehicle count and record data every hour of the day and night.
- Separating and classifying vehicles in 5 groups :
- Car
- Minibus
- Truck
- Bus
- Trailer
- And separating and classifying vehicles in 2 groups :
- Lightweight Vehicles
- Heavyweight Vehicles
- Calculates Average Traffic Volume and record data every hour of the day and night.
- Calculates Average Vehicles Speed and record data every hour of the day and night.
- Supports moving in both directions simultaneously.
- Create various reports in table format with the ability to apply a variety of filters such as filter by date, time, number of vehicles and ...
- Drawing 2D and 3D customize charts of various items including traffic volume, number of vehicles, in different time periods such as daily,
monthly and annual traffic statistics for the detailed planning, required to view and compare.
- Create the technical reports of the software operations.
Vehicles counter and traffic analyzer software.
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Classification the different Vehicles types.
- - Calculating road / street traffic volume, vehicles average speed.
- - And ...
Reports :
More details about Picomixer STA in later parts ...
Copyright © 2013 Picomixer All rights reserved.
Thank you for visit Picomixer website ( International Software Group & Company )
STA Technical Specifications :
- Released with both 32 bit and 64 bit systems, which runs on all versions of the microsoft Windows operating system.
- No need to install and designed based on the transmission system (Portable).
- Supports all communication methods for video hardwares, and standard camera types.
- Usable in a networked environment and communicate with the camera via the IP Address and URL.
- Ability to automatically synchronize with all networks and different data transfer speed.
- Ability to communicate with the camera via a television signal receiver hardware (Tuner).
- Ability to apply a variety of appropriate settings in the software environment, on video images, such as brightness, sharpness, contrast
color intensity and ...
- Identify and intelligent adaptation with changing operational environment (Road), such as frequent changes in light intensity, shadows and
other image defects.
- Ability to record incoming video, synchronize with the process operations (if necessary).
- Ability to perform operations on video files which recorded in other units.
- Ability to use in different climatic conditions.
- Automatic synchronization with the abrupt climate conditions such as rain and snow.
- Adjustable on different roads with a different speed limit.
- Ability to detect up to 250 vehicles as simultaneously (suitable for multi-lane road).
- No problems such as problems on electronic counting devices, such as speed limits of vehicles, lack of recognition because passing parallel
and lack of recognition in the outside of induction range.
- Ability to execute as multiple on a machine, to control the several different streets (if available hardware resources required).
Drawing 2D and 3D
customize charts of various items including traffic volume, number of
vehicles, in different time periods such as daily,
monthly and annual traffic statistics for the detailed planning, required to view and compare.
Detection Monitoring, to assess
the operations accurately with respect to the parameters entered by the
user such as sensitivity, defined sizes for various vehicles and ...
Prologue (Why Picomixer STA is built and developed?)
Nowadays, with the growth and development of cities, roads and traffic,
the need to monitor accurate and planning for transport in roads and
streets, is more important than before, So that traffic Control Without
careful planning it is impossible. In this regard, greater use of
software
and hardware technology is most effective measures in this part is, Like other parts of science.
In the meantime, the use of artificial intelligence based systems for
traffic control, has a very special Position.
As regards the traffic control is a global issue, more cost-effective
solutions should be considered. So the Software-based systems in
contrast
to electronic systems, Often have more efficiency and flexibility.
In this regard, using of systems based on artificial intelligence,
useful measures for careful planning for the optimal use of roads and
streets are.
For example, using of intelligent software to calculates the volume of
traffic and vehicles counters, to obtain detailed information on road
traffic
and use this results to planning for the transport vehicles and
displacement tourists and planning to increase the quality of using the
roads.
So Picomixer with a group of engineers and researchers, decided to design a developed system for this work.
This project is called STA ( Smart Traffic Analyzer). In the
later parts, the different parts of the Picomixer STA project
will be reviewed.
Connect to video hardwares.
Connect to IP Cameras.
Other parts :
Intelligent identification
system operating environment (road/street) and its various parameters
such as rim road objects, lights intensity, shadows, image disorders,
wallpaper and ... Before starting operations.
Create various
reports in table format with the ability to apply a variety of filters
such as filter by date, time, number of vehicles and ...
Connect to Tuner.
Record incoming video, synchronize with the process operations.
apply a variety of
appropriate settings in the software environment, on video images, such
as brightness, sharpness, contrast, color intensity and ...
Video player.
Other process operations settings...
Set exact size of different vehicles.
Capture tools, for measure the exact size of vehicles and set the image frame.
Define maximum of vehicles speed in the road / street.
Set Run parameters.
Backup and restore data & settings. (manual & automatic).
Admin Permission.
Register Picomixer STA.
And other different parts.
-------------------------------------
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ROAD TRANSPORTATION, TRAFFIC VOLUME, CORDON COUNT
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Traffic management with vehicles counter and smart traffic analyzer software (Smart Traffic Analyzer (STA))
Vehicles counter software.
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicles counting software.
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicles Counting System.
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicle Count
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Counting and monitoring systems
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Cumulative vehicle count
A cumulative
vehicle count curve, the N-curve, shows the cumulative number of
vehicles that pass a certain location x by time t, measured from the
passage of some reference vehicle.[7] This curve can be plotted if the
arrival times are known for individual vehicles approaching a location
x, and the departure times are also known as they leave location x.
Obtaining these arrival and departure times could involve data
collection: for example, one could set two point sensors at locations X1
and X2, and count the number of vehicles that pass this segment while
also recording the time each vehicle arrives at X1 and departs from X2.
The resulting plot is a pair of cumulative curves where the vertical
axis (N) represents the cumulative number of vehicles that pass the two
points: X1 and X2, and the horizontal axis (t) represents the elapsed
time from X1 and X2.
Figure 9. Arrival, virtual arrival, and departure curves
If vehicles
experience no delay as they travel from X1 to X2, then the arrivals of
vehicles at location X1 is represented by curve N1 and the arrivals of
the vehicles at location X2 is represented by N2 on Figure 8. More
commonly, curve N1 is known as the arrival curve of vehicles at location
X1 and curve N2 is known as the arrival curve of vehicles at location
X2. Using a one-lane signalized approach to an intersection as an
example, where X1 is the location of the stop bar at the approach and X2
is an arbitrary line on the receiving lane just across of the
intersection, when the traffic signal is green, vehicles can travel
through both points with no delay and the time it takes to travel that
distance is equal to the free-flow travel time. Graphically, this is
shown as the two separate curves in Figure 8.
However, when the
traffic signal is red, vehicles arrive at the stop bar (X1) and are
delayed by the red light before crossing X2 some time after the signal
turns green. As a result, a queue builds at the stop bar as more
vehicles are arriving at the intersection while the traffic signal is
still red. Therefore, for as long as vehicles arriving at the
intersection are still hindered by the queue, the curve N2 no longer
represents the vehicles’ arrival at location X2; it now represents the
vehicles’ virtual arrival at location X2, or in other words, it
represents the vehicles' arrival at X2 if they did not experience any
delay. The vehicles' arrival at location X2, taking into account the
delay from the traffic signal, is now represented by the curve N'2 on
Figure 9.
However, the
concept of the virtual arrival curve is flawed. This curve does not
correctly show the queue length resulting from the interruption in
traffic (i.e. red signal). It assumes that all vehicles are still
reaching the stop bar before being delayed by the red light. In other
words, the virtual arrival curve portrays the stacking of vehicles
vertically at the stop bar. When the traffic signal turns green, these
vehicles are served in a first-in-first-out (FIFO) order. For a
multi-lane approach, however, the service order is not necessarily FIFO.
Nonetheless, the interpretation is still useful because of the concern
with average total delay instead of total delays for individual
vehicles.[8]
Car Counter
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Road Vehicle Counter
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Annual average daily traffic
From Wikipedia, the free encyclopedia
"Aadt" redirects here. It is also the name of a minor Enochian angel.
Annual average
daily traffic, abbreviated AADT, is a measure used primarily in
transportation planning and transportation engineering. It is the total
volume of vehicle traffic of a highway or road for a year divided by 365
days. AADT is a useful and simple measurement of how busy the road is.
It is sometimes incorrectly reported as "average annual daily traffic".
Contents [hide]
1 Uses
2 Data collection
3 Average summer daily traffic
4 Average Daily Traffic
5 References
6 External links
[edit]Uses
Highway 401 in Ontario, Canada, has an AADT of over 400,000 in some sections of Toronto.
One of the most important uses of AADT is for determining funding for the maintenance and improvement of Highways.
In the United
States the amount of federal funding a state will receive is related to
the total traffic measured across its Highway network. Each year on June
15, every state in the United States submits a Highway Performance
Monitoring System HPMS report. The HPMS report contains various
information regarding the road segments in the state based on a sample
(not all of the road segments) of the road segments. In the report, the
AADT is converted to Vehicle Miles Traveled (VMT). VMT is the AADT
multiplied by the length of the road segment. To determine the amount of
traffic a state has, the AADT cannot be summed for all road segments
since an AADT is a rate. The VMT is summed and is used as an indicator
of the amount of traffic a state has. For federal-funding, formulas are
applied to include the VMT and other highway statistics.
In the United
Kingdom AADT is one of a number of measures of traffic used by Local
Highways Authorities, the Highways Agency and the Department for
Transport to forecast maintenance needs and expenditure.
[edit]Data collection
A traffic counter on BIA Road J-9 in the United States
To measure AADT on
individual road segments, traffic data is collected either by an
automated traffic counter or hiring an observer to record traffic. There
are two different techniques of measuring the AADTs for road segments.
One technique is called continuous count data collection method. This is
where sensors are permanently embedded into a road and traffic data is
measured all 365 days. The AADT would be the sum of the total traffic
for the entire year divided by 365 days. There is a problem with
calculating the AADT with this method. The continuous count equipment is
not operating for the full 365 days due to being shut down for
maintenance or repair. Because of this, seasonal or day-of-week biases
might skew the calculated AADT. In 1992, AASHTO released the AASHTO
Guidelines for Traffic Data Programs,[1] which identified a way to
produce an AADT without seasonal or day-of-week biases by creating an
"average of averages." For every month and day-of-week, a Monthly
Average Day of Week (MADW) is calculated (84 per year). Each
day-of-week's MADW is then calculated across months to calculate an
Annual Average Day of Week (AADW) (7 per year). Finally, the AADWs are
averaged to calculate an AADT. The United States Federal Highway
Administration (FHWA) has adopted this method as the preferred method in
the [FHWA Traffic Monitoring Guide][1].
While providing the
most accurate AADT, installing and maintaining continuous count
stations method is costly. Most agencies are only able to monitor a very
small percentage of the roadway using this method. Most AADTs are
generated using short-term data collection methods sometimes known as
the coverage count data collection method. Traffic is collected with
portable sensors that are attached to the road and record traffic data
typically for 2 – 14 days. These are typically pneumatic road tubes
although other more expensive technology such as radar, laser, or sonar
exist. After recording the traffic data, the traffic counts on the same
road segment are taken again in another three years. FHWA Traffic
Monitoring Guide [2] recommends performing a short count on a road
segment at a minimum of every three years. There are many methods used
to calculate an AADT from a short-term count, but most methods attempt
to remove seasonal and day-of-week biases during the collection period
by applying factors created from associated continuous counters. Short
counts are taken either by state agencies, local government, or
contractors.
For the years when a
traffic count is not recorded, the AADT is often estimated by applying a
factor called the Growth Factor. Growth Factors are statistically
determined from historical data of the road segment. If there is no
historical data, Growth Factors from similar road segments are used.
[edit]Average summer daily traffic
Average summer
daily traffic (abbreviated to ASDT) is a similar measure to the annual
average daily traffic. Data collecting methods of the two are exactly
the same, however the ASDT data is collected during summer only. The
measure is useful in areas where there are significant seasonal traffic
volumes carried by a given road.[2]
[edit]Average Daily Traffic
Average daily
traffic or ADT, and sometimes also mean daily traffic, is the average
number of vehicles two-way passing a specific point in a 24-hour period,
normally measured throughout a year. ADT is not as highly referred to
as the engineering standard of AADT which is the standard measurement
for vehicle traffic load on a section of road, and the basis for most
decisions regarding transport planning, or to the environmental hazards
of pollution related to road transport.[3][4]
[edit]References
^ AASHTO Guidelines for Traffic Data Programs. American Association of State Highway and Transportation Officials. 1992.
^ "Traffic counting on the roadways of Croatia in 2009 - digest". Hrvatske ceste. May 1, 2010.
^ Gauderman, W James et al. (2005). "Childhood Asthma and Exposure to Traffic and Nitrogen Dioxide.".
^ Gary A. Davis (2007). "Accuracy of Estimates of Mean Daily Traffic: A Review".
The 1992 Edition of
the AASHTO Guidelines is out of date. The current edition is from 2009.
The Gary Davis article was published in Transportation Research Record
1593, 1997. the date currently shown in the article is the date of an
on-line posting.
Vehicle Counter Program
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Traffic count
From Wikipedia, the free encyclopedia
Bike counter with
display showing the number of bikes on the particular day and
accumulative for the year, for one bike lane at Dronning Louises Bro in
Copenhagen, one of Denmarks most biked streets, with around 10 million
passing bikes a year.
A traffic count is a
count of traffic along a particular road, either done electronically or
by people counting by the side of the road.[1] Traffic counts can be
used by local councils to identify which routes are used most, and to
either improve that road or provide an alternative if there is an
excessive amount of traffic. Also, some geography fieldwork involves a
traffic count. They are useful for comparing two or more roads, and also
can be used alongside other methods to find out where the CBD of a
settlement is located.
Contents [hide]
1 Counting methods
1.1 Example Table from a Traffic Count
2 Traffic counter device
3 See also
4 References
[edit]Counting methods
A traffic counter on BIA road J-9 in the United States
To permanently or
temporarily monitor the usage of a road, an electronic traffic counter
can be installed or placed to measure road usage continuously or for a
short period of time. Most modern equipment called ATR's (Automatic
Traffic Recorders) store count and/or classification data recorded in
memory in a timestamp or interval fashion that can be downloaded and
viewed in software or via a count display on some equipment. In some
instances people either draw up a table and/or use a tally to keep a
record of vehicles which pass manually as an alternative to ATR's.
[edit]Example Table from a Traffic Count
This is an example
of a traffic count, showing the type of vehicle and the data collected
at a particular place in each direction. As you can see, this data has
been compiled into numbers from each direction and a total count. The
original table (which was used out on the road) used data recorded in
tally form.
Vehicle Type Direction X Direction Y Total
Car 48 47 95
Truck 2 41 43
Van 5 7 12
Bus 1 0 1
Bike 3 1 4
Pedestrian 3 4 7
Traffic counter device
A radar-based traffic counter (about 2/3 of the way up the pole) powered by a solar panel (near top of pole).
A traffic counter
is a device, often electronic in nature, used to count, classify,
and/or, measure the speed of vehicular traffic passing along a given
roadway. The device is usually deployed in near proximity to the roadway
and uses an intrusive medium, such as pneumatic road tubes laid across
the roadway, piezo-electric sensors embedded in the roadway, inductive
loops cut into the roadway, or a combination of these to detect the
passing vehicles. One of the first traffic counting units, called
traffic recorders, was introduced in 1937 and operated off a strip laid
across the street and operated off a six volt battery. Each hour it
printed off a paper strip with the total for that hour.[2] Recently, in
the interest of worker safety and ease of installation, non-intrusive
technologies have been developed. These devices generally use some sort
of transmitted energy such as radar waves or infrared beams to detect
vehicles passing over the roadway.
TRAFFIC COUNTING, AUTOMATIC COUNTER, ROAD TRANSPORTATION, TRAFFIC VOLUME, CORDON COUNT
Traffic Counter
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Road Traffic Count
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Roadway Information and Traffic Counts
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Traffic Management and Analysis Software
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Traffic Count
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
VehicleCounts
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Traffic Count Program
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Automatic vehicle counting
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicle Tracking Systems
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicle Counters Program
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Car Counters
Minibus Counters
Bus Counters
Truck Counters
Trailer Counters
Counters Vehicles
Vehicle Counters Software
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Traffic Management
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
vehicle counter surveillance
vehicle counter machine
vehicle counter sensor
Traffic Volume Counts
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Traffic Analyzer and Enumerator, Vehicle Classification ...
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicle Tracking Systems
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicle Counting Systems
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicle Counting Solution
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Traffic Counters
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Intelligent Traffic Counters
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Car Counters
Minibus Counters
Bus Counters
Truck Counters
Trailer Counters
Counters Vehicles
Video Processing Vehicle Counters
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Image Processing Vehicle Count
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicle Tracking Systems
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Vehicle Counting Device
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Traffic Volume Recorder
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Intelligent Vehicle Count
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Intelligent Counters
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
Intelligent Counting
STA ( Smart Traffic Analyzer )
- - Using the powerful Artificial Intelligence and Image Processing algorithms.
- - Recognition, Detection, Enumerating, Parting and Batching diffrent Vehicles type.
- - Calculating road / street traffic volume ( live and average ) and vehicles count.
- - And ...
vehicle counter surveillance
vehicle counter machine
vehicle counter sensor
