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our process

How AI Sensing works

01
Image Processing & Detection

The real time image processing and tracking is done in the sensor’s quad-core CPU, while in the Neural Net Accelerator module inferencing takes place.

02
Data communication

The processed data like number of counted people or cars or occupancy data around desks is sent to the Back End via the communication module of sensors.

03
Analytics

Finally all of the uploaded sensory data is analyzed and processed in the Back End.

what we do

Problems We are Solving

We develop special sensory products used to count and track people in public transportation vehicles, shops, plazas and office buildings. Moreover we consider also handsets as sensors, therefore to achieve our goals, we use fusion of technologies and data obtained from state of the art sensors, mobile phones and via human interactions.
  • Count passengers & people
  • Assist experts & decision makers
  • Real-time analytics in the cloud
  • Hotspot monitoring
  • Energy management of buildings
  • Provide occupancy data of offices
  • Track humans and objects
  • Count free parking spaces & cars
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Our OEM Services

Our Services

Manufacturing of interface modules

We sell interface modules to third parties.

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Sensor manufacturing

We also sell our final sensory products to third parties.

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Back End

We provide also to third parties or endusers full fledged cloud services.

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Easy installation

Only two screews are needed to fix our sensors

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Remote maintenance

Sensors operational information’s are presented in the BE, but in case we can also access sensors remotely.

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Analytics

Automated reporting and predictive analytics for management use.

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Our Partners

Our Partners

Quectel
VF
ACME
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Our Counters

Used Counting Technologies

PassCount 3D TOF

We have over 10 years of experiences by using Time of Flight sensory technologies in people, visitor counting & Automated Passenger Counting (APC). We were one of the first company in Europe who deployed already this technology back to year 2012.

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PassCount AI

We intend to be the pioneer company in Europe deploying Deep Learning based AI in people, visitor counting & Automated Passenger Counting (APC). We made our first installations already in year 2021.

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Major features of counters

Features

Accuracy

Thanks to high resolution, high FOV and sufficient FPS of both sensors and well tested and proven image processing and Deep Learning technologies > 99 % accuracy is maintained subject to any lighting and environmental conditions and regardless of door dimensions and passenger, people density or direction of motion.

Features

The sensor has a compact footprint of just 112.5 x 55.5 x 30.5 mm (L x W x H) and is easy to install, requiring only two screws for mounting. Sensors are also wireless (WiFi, BT or NB-IoT), therefore only 24 DC power supply or door status signal is needed. A flush mount version of the enclosure is also available upon request. No calibration is needed.

Enclosure

The 3D printed or CNC machined enclosures or aluminum alloys with IP65 environmental protection class, with extended – 20 to + 85°C temperature range of operation of all hardware components and with low power consumption makes the 3D PassCount or PassCount AI counters ideal for any types of transport APC or commercial applications.

Reliability

Low Life Cycle Costs are ensured by using Unix/Linux operating software and on-board diagnostics and remote management. The MTBF of counters is over 300k hours, subject to periodic operation (in case of transport vehicle deployment, counters only active when doors are opened, otherwise idle), while MTTR < 30 minutes in case of vehicle application !