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Supported Nvidia GPUs with Ada Lovelace micro-architecture .for:
- Neural tracker
- Neural counter
- Human pose detector
- Equipment detector
- Fire detector
- Smoke detector
- Neural classifier
- Barcode detector
- Water level detector
- Stopped object detector
- Privacy masking
- Person-based privacy masking
- Face detector VA
- Crowd Estimation VA
- Abandoned object detector VI
- Abandoned object detector VI (Street)
- License plate recognition RR
- License plate recognition VT
Added Stopped object detector
- Added Human tracker VL
Added Glow detector Added Object Tracker VL Object Tracker VL
- Added Vehicle Recognition XR Windows OS .
- Added new countries for the License Plate Recognition plate recognition IV
- Added new countries for the the License plate recognition (VT) License plate recognition (VT)RR
Added new countries for the the License plate recognition (RR) VT
- It is now possible to hide the license plate number completely or partially using the GDPR Policy feature.
It is now possible to create events based on unrecognized license plates for detection toolsdetectors:
- Added the Biometric data parameter for:
Optimization
Optimized the Nvidia GPU utilization so it can be used more efficiently, which increased the performance of the detection toolsdetectors:
Added a Added new embedded neural network for the Person Human (top-down view) for detection toolsdetectors:
Added the possibility of using object classes in standard detection sub-tools Standard detection sub-toolsdetectors
Updated the integration of the Abandoned Objects Detection object detector VI and Abandoned Objects Detection object detector VI (Street) VI—Windows version is now available.
Added demo license for the detection toolsdetectors:
- Face Detection detector VL
- PPE detection Equipment detector VL
- Object Tracker Human tracker VL
Update recommendations
For Linux OS: if a detector pack 3.7.4 version and earlier that includes all analytics tools is installed (not divided into plugins), then before updating, it is necessary to remove the installed package without using purge (complete package deletion) by running the following command:
Code Block sudo dpkg --remove --force-depends axxon-detector-pack
and then install the necessary plugins.
- For Face masking to work during export, it is necessary to have the Neuro Pack installed.
By default, the GDPR Policy feature for detectors created before the update will be disabled. To enable it, it is necessary to delete the field values and then re-enter '-' or specify the required filter.
Update limitations
- When you update the Face detection detector TV, Face Detection detector VA, or Face detection detector VL (see Installing DetectorPack add-ons), the results of the previously recognized persons will become unavailable. If you want to keep the previously recognized persons, do not update the analytics package.
- To start and correctly run the basic Face detection and detector and Face recognition detector VA on GPU, you must first create a cache Optimizing the operation of Face detection TV and Face Detection VA on GPU
- Replaced Face detectiondetector TV with Face detection detector VA. Discontinued the support for Face detectiondetector TV. Face detection detector TV and Face detection detector VA are incompatible.
- Discontinued the support for the Intel HDDL (Mustang-v-100) devices.
- The mechanisms for launching neural network models have changed, that which is why some of the custom models (trained specifically for the object, see Data collection requirements for neural network training) may not can work correctlyincorrectly. If you encounter any difficulties, please contact technical support.
- In this version of DetectorPack, you cannot filter objects by color when using sub-tools detectors (child detection toolsdetectors).
- When working with Fire Detectiondetector and Smoke Detectiondetector in scanning mode (see Configuring the Scanning scanning mode), it is strongly recommended to set the polygon detection areas if you need to analyze only part of the frame.