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ai.bites Traffic Control
ai.bites Traffic Control turns any camera into an optical sensor for traffic monitoring and partially anonymized traffic analysis.
ai.bites Traffic Control enables a variety of traffic monitoring use cases such as illegal parking, no stopping, parking in second row, violation of drive-through restrictions, driving into one-way streets against the direction of travel, unauthorized driving in bus, cab or bike lanes, drive-through restrictions for hazardous goods, drive-through statistics based on partially anonymized license plate information etc. The exact configuration of the desired use case is done via a graphical user interface. Depending on the camera used, the actual processing of the video data takes place directly on or in the camera in real time. In the event that a breach is detected, the system generates an evidence photo in which all non-relevant privacy-critical information is automatically pixelated, enabling DSGVO-compliant deployment.
- Technik: IoT Edge, IP camera, Machine Vision, Smart City, Traffic Control
Fields of application
Partner
Deployment
Resources
Fields of application
ai.bites Traffic Control supports the following use cases (more use cases available on request):
- License plate recognition (ANPR): Detects and documents license plates within one or more configurable image sections and creates corresponding evidence photos if required. However, license plate recognition can also be used, for example, to generate passage statistics based on license plate information.
- Entry prohibited/restricted/one-way: Detects entry into prohibited or restricted areas and creates an evidence photo with license plate information.
- Second row parking/no parking and no stopping: Detects and documents parking violations of any kind within one or more configurable image sections. If required, boarding and alighting processes can also be detected and documented, and the actual standing time and traffic situation can be taken into account.
- Transit restriction for dangerous goods transporters: Detects and documents entry and transit prohibitions for dangerous goods transporters based on UN number declaration and dangerous goods pictograms.
Partner
ai.bites Traffic Control is compatible with the following products from our partners (other setups on request).
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Partner Type |
Partner |
Edge Compute Hardware |
Legacy Edge Cameras |
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Solution Partner |
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Solution Partner supported edge compute hardware |
Solution Partner supported legacy edge cameras |
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Technology Partner |
IoT Devices – IR829 – IR1101 – IR1800 – IC3000 – IE3400 Edge Compute Server – UCS-B – UCS-E – UCS-M – UCS-X |
Cameras – Cisco Meraki MV22 – Cisco Meraki MV32 – Cisco Meraki MV72 – Any legacy IP Camera |
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IoT Devices – R1900 – IBR1700 |
Cameras – Any legacy IP Camera |
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IoT Devices – GUSTAV AGX Orin – GUSTAV TX2 NX – GUSTAV Xavier NX – GUSTAV Xavier AGX – GUSTAVi Edge Compute Server – GUSTAV Quadro – GUSTAV Media |
Cameras – Any legacy IP Camera |
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AI enables cameras – IDS NXT Camera |
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IoT Device/Edge Compute Server – ARM CPU – Intel CPU – Nvidia GPU |
Cameras – uEye+ Camera |
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Marketplace Partner |
IoT Device/Edge Compute Server – Edge compute devices from Azure Device Catalog |
Cameras – Any legacy IP Camera |
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See IDS |
See IDS |
Deployment
ai.bites Traffic Control is available as a full managed service AI application, or can be created or extended as part of the AI Appliance itself. ai.bites Traffic Control can be used in the following deployments:
Resources
259.268,07 TByte
Saved Traffic
3.020.691.942
Tracked Objects
90.620.758.272
Frames Processed