The most popular question on the security market today is how easy it is to work with road traffic data. One of the main problems for municipalities and police is to be able to look at traffic data in order to draw conclusions about a specific situation over a specific period of time from a long-term perspective, simply getting a fairly global view within the city, region or the whole country.

Taking into account urban traffic problems, we have developed a special platform that provides a fast and easy data search across huge databases (up to 200M of records) as well as deep data analysis via easy-to-interpret charts and tables. And with all these options in working with road traffic data our customers can make easy-to-interpret charts and tables according to the special needs of their projects.

So, if you want to create your own analytical dashboard for a project, 24 hours is all it takes for the FF team to complete your order.

In today’s blog we’ll share with you a short preview of some business solutions that can cover the problems of security projects that your clients are facing; all ready-to-use business solutions you can learn and order via the link at the end of our blog.

First off, take a look at some problems and their solutions in road traffic monitoring known as Law Enforcement solutions.

List and Alerts
The most common issue in road traffic control is the search and identification of violators in real-time. DataFactory allows the police to configure several types of lists of offenders on the road, e.g. trucks that are forbidden to enter the city center, intruder cars, etc.
DataFactory identifies the offender based on the data received from the ANPR camera in real-time. After comparing it with a given list, the smart platform sends a warning with video confirmation of the violation.

City statistics
Cities municipalities can administer traffic in a city and plan new road infrastructure relying on up-to-date, accurate vehicle statistics (type, brand, model, etc.) from DataFactory at different time periods and across other parameters.

Such statistics can be used in marketing campaigns to determine which vehicle brand most often passes by a given section of road indicating optimal locations for the placement of targeted ads.

You can also cover problems in parking lots from simple monitoring of free parking spots to tracking vehicles’ time spent in parking networks or in the parking lots of restaurants or shopping malls.

Occupancy time violation
This solution allows you to calculate the time the car stays in the parking lot. Two ANPR cameras at the entrance and exit identify the vehicle, and the operator sets the time paid by the client. If the duration of the vehicle’s stay is more than the paid time, then a violation signal is given.

Free parking places
Keeping a count of cars that enter a parking lot to determine the number of free spaces is another useful DataFactory logic. All it takes is to set the number of total spaces and enter the cars that are currently there, and start the process of counting free spaces.
So, your client can automate the possibility to book online parking spaces, as well as conduct statistical analysis of work by day, week or month to better manage the parking lot and not waste money.

Also we also develop some service logics which control the operation of cameras (so called camera health) installed as part of the monitoring and data collection system, allowing you to test the DataFactor logics on the DemoStand, etc.

If you want to learn about all of our DataFactory business solutions, order a Demo, or set up an individualized solution just click on the following link.

Parking automation is becoming not just a popular trend within the framework of the Smart City project. Today it is an effective tool that allows its owners and operators to streamline traffic in parking lots, increase capacity at entrances and exits and generally improve the quality of customer service.

In addition, it is almost impossible to effectively manage the impulses to increase revenues and control for human error without smart analytics. Not only that, but, the use of such analytics will open up wide-ranging prospects in the development of loyalty programs for customers, the prevention of violations and, as a result, an increase in profits, obtaining various reports and establishing forecasting in doing business, etc.

These kinds of parking automation tasks can be done by the FF Data Factory smart platform for amalgamating disparate points of traffic data. It can become a reliable and effective “parking control assistant” for its owner or operator. Today, the Data Factory Business Logic Catalog includes the most popular parking automation tools by parking operators and integrators.

Let’s look at our Parking business logic in more detail

The first step to automate business processes in parking lots is to count the cars that enter to determine the number of free spaces.
To do this, all it takes is to set the number of total spaces and enter the cars that are currently there, and start the process of counting free spaces. In this case, Data Factory business logic allows parking operators to conduct statistical analysis of work by day, week or month.

The ability to find a free parking space is very much in demand by drivers. But there are limits on this free service in parking lots. Therefore, it is in the interest of the parking operator to ensure that drivers do not violate the established limit. For this purpose, a business logic was developed in Data Factory referred to as “occupancy time violation”.

This logic allows the parking operator to calculate the time the car stays in the parking lot. Two LPR cameras (connected with Data Factory) at the entrance and exit identify the vehicle, and the operator sets in the Data Factory system the time paid by the client. If the duration of the vehicle’s stay is more than the paid time, then a violation signal is given.

Another business logic of Data Factory allows you to improve the customer experience in parking networks and even use the collected business data for marketing campaigns for the parking lots of restaurants or shopping malls.

For example, restaurant owners are interested in how much time the client spends on their premises or how many visitors come by per day. The system allows them to generate a client/visitor profile which in turn helps them effectively plan the staffing of the restaurant.

How to set up Data Factory ina Parking system

The following step-by-step configuration actions should be taken:

1. Install the cameras with the embedded LPR app from FF Group, Axis or Hanwha on one network with your server and set up the apps for recognition.

2. Install FF Data Factory on the server and connect the cameras.

3. If you have Milestone XProtect installed, this is done automatically. If you are using a stand-alone version of Data Factory, you have to add cameras to FF Data Factory manually.

4. Setup every camera app for sending data to the receiving server address. You will get data from all the cameras to one database in real-time allowing you to immediately start searching for cars.

5. After this, you can configure access for different users and configure your dashboards.

Should you be implementing your own parking system to satisfy your customer’s needs we might serve it with FF Data Factory parking management business logic.

Just drop your comments under the blog or in the e-mail n.lerit@ff-group.org.

FF Group’s CAMMRA application can detect such vehicle types as motorbikes to increase the control of violators on motorbikes who create dangerous situations on the roads.

Moreover, an Axis camera equipped with CAMMRA can recognize the car’s rear and front view (brand, model, type, color, and license plates) at speeds up to 100 mph in Europe and the USA.

Book a demo, install it in 10 minutes or less, and get vehicle meta-data with outstanding accuracy!

Check out the Demo here!