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Sccanoo is an innovative system monitoring the pedestrian and cyclist traffic density in various locations, enabling precise real-time data analysis on an online platform.

Step 01

Selecting the Location for Traffic Density Measurements

The location for SCCANOO measurements should be chosen on roads, bike paths, intersections, or other strategic points with significant pedestrian and cyclist traffic. It is best if the location has good access to daylight, appropriate visibility, and minimal obstacles that could disrupt measurement accuracy.

For SCCANOO.PIR, it's important to place it within the range of a mobile network and on a route where pedestrian or cyclist traffic occurs. In the case of SCCANOO.COM, in addition to mobile network coverage, access to a power source should also be ensured.

Step 02

Installation of Counters in Selected Locations

After choosing the appropriate location, the SCCANOO counter can be mounted on existing urban infrastructure, such as streetlights, posts, gates, fences, etc.

Once installed, the SCCANOO.PIR counter is ready to operate immediately, while the SCCANOO.CAM counter needs to be configured for the appropriate measurement mode and classification of counted objects (pedestrians, cyclists, scooters, etc.). These parameters can be adjusted to meet the client's individual needs and local conditions.

Step 03

Operation of SCCANOO counters and Data Observation on the Internet Platform

Data collected by SCCANOO devices are transmitted in real-time to the app.sccanoo.com platform.

The platform offers interactive statistics in the form of charts and maps, enabling a better understanding of traffic in a specific area or an entire region.

Additionally, weather data is integrated with traffic data, allowing for an analysis of how weather conditions impact pedestrian and cyclist traffic.

Step 04

Downloading Traffic Statistics Reports for a Selected Period from a Specific Counter

Within the SCCANOO system, it is possible to download statistics related to pedestrian and cyclist traffic. The SCCANOO platform enables generation of various reports and analyses based on collected data, such as:

  • Traffic density statistics: The number of pedestrians and cyclists recorded at a specific time in a given point or area.

  • Traffic classification statistics: The number of pedestrians, cyclists, scooters, food delivery providers, etc., counted in specific categories.

  • Traffic trends: An analysis of changes in traffic density over different time periods, such as hours, days of the week, months, or seasons.

  • Impact of weather conditions: An analysis of how changing weather conditions can affect pedestrian and cyclist traffic.

  • Historical data: The ability to download data from previous time periods for comparison and long-term analysis.



SCCANOO.PIR utilizes advanced motion detection technology in the form of infrared technology to accurately count pedestrians and cyclists passing by the sensor. With its built-in solar panel and battery, the device operates independently, without the need for an external power source.

Where can SCCANOO.PIR be applied? SCCANOO.PIR is well-suited for various locations, such as:

-> Bike paths

-> Sidewalks and pedestrian pathways

-> Intersections

-> Recreational areas and parks

-> Residential neighbourhoods


Built-in solar panel and battery
Thanks to the solar panel and built-in battery, it operates both during the day and at night, in all weather conditions.
Precise traffic counting
Our advanced motion detection technologies ensure accurate counting of pedestrians and cyclists passing by the device, providing reliable data for analysis.
Versatile installation
Compact dimensions and installation flexibility allow for SCCANOO.PIR to be installed in various locations. It can be mounted on existing urban infrastructure, residential areas, pathways, or in forests, without the need for complex electrical installations.
Real-time data
SCCANOO.PIR transmits data in real-time to a dedicated online platform, where it's available in real-time. This enables an immediate response to changes in traffic intensity and better traffic management in the city.

SCCANOO.CAM is an innovative solution based on computer vision and artificial intelligence that provides accurate and versatile counting of pedestrians and cyclists at intersections and other key points.


SCCANOO.CAM not only counts pedestrians and cyclists but, thanks to advanced artificial intelligence algorithms, can differentiate between various objects such as scooters, food delivery providers, or cargo bikes. This delivers more detailed statistical data.

Where can SCCANOO.CAM be applied?

SCCANOO.CAM is effective in various locations, particularly at intersections and other high-traffic points where the classification of different objects is essential for analysis.



Security and Anonymity
You don't need to worry about data protection. The image is processed directly on the device and is not transmitted over the internet to remote servers. The internet only serves as a conduit for collected numerical statistics to our servers.
Neural Network
SCCANOO.CAM utilizes advanced vision technologies and artificial intelligence to accurately count and classify pedestrian and cyclist traffic at intersections and other key points.
Precise Traffic Counting
SCCANOO.CAM operates both during the day and under artificial lighting at night, ensuring continuous traffic measurement regardless of the time.
Configuration Flexibility
SCCANOO.CAM allows for individual configuration of recognition objects. It's possible to teach the system about new objects not previously known.


The SCCANOO system is a solution for smart cities and institutions aiming to enhance traffic management efficiency and contribute to the development of sustainable transportation.

Supporting the concept of Smart Cities.
Traffic Monitoring
With SCCANOO, you'll gain insights into the traffic histogram at monitored locations, which can be crucial for making decisions about new investments.
Reducing Street Congestion
Using SCCANOO, you'll understand the traffic histogram at measured locations, which can be pivotal in decisions related to creating new investments.




How does SCCANOO.PIR work?

Does SCCANOO.PIR require an external power source?

Where is the best location to install SCCANOO.PIR?

Does SCCANOO.PIR classify types of objects?

What kind of data can I obtain using SCCANOO.PIR?



How does SCCANOO.CAM work?

Does SCCANOO.CAM require a power source?

Where is the best location to install SCCANOO.CAM?

What types of objects can SCCANOO.CAM classify?

Does SCCANOO.CAM operate during both day and night?

Does SCCANOO.CAM record historical data?