Page History

...

This version of DetectorPack is compatible with Axxon One 2.0 Beta and later versions. 

What's new:

1. Added new neural network models that simultaneously detect two classes—Human and Vehicle. The models are divided into three types: Nano, Medium and Large. Resource consumption increases as recognition accuracy increases Setting up Scene Analytics detection tools based on Neurotracker
2. Added the definition of a "non-living face" for Face detection.
3. Barcode detector.
4. Added Face detector VA.
5. Added Audio classification IV.
6. Added Abandoned object detector VI and Abandoned object detector (Street) VIAdded the possibility of specifying the number of detection tool objects for the standard sub-detection tools: Motion in area, Appearance in area, Disappearance in area. For example, the detection tool will trigger only if two objects are moving in the frame.
7. Added new countries for the the License plate recognition (IV) IV Image Added
8. Added new countries for the License plate recognition (IV) features and specificationsVT Image Added
9. Added new countries for the License plate recognition (VT) RR Configuring the License plate recognition (VT) features and specifications
10. Added new countries for the License plate recognition (RR) License plate recognition (RR) features and specifications
11. RR

Optimization

1. Added the possibility of quantizing all embedded models for Neural tracker Image Added

2. Unified class numbers for embedded models Image Added

3. Added the possibility of using object classes in standard sub-detectors (child detectors): Motion in area, Entrance in area, Exit from area.

4. Updated integration of the Abandoned object detector VI—Windows version is now available.

5. Added a new type of vehicle—"motorcycle" for the Vehicle recognition RR and License plate recognition RR.

6. Improved the quality of speed detection

   Added the cache creation utility

   for the License plate recognition

   (RR) and RR vehicles recognition Optimizing the operation of

   RR Configuring the License plate

   (RR) and RR vehicles recognition on GPU

Optimization

1. recognition RR

2. Support for NVIDIA JetPack 5.1.2 (Nvidia Jetson Orin devices) in the Neuro Pack is available.
3. Added general models for Atlas300i NPU.
4. Normalized load by cores on Xeon processors.
5. Improved the speed of the Image noise detector
6. Updated the neural network algorithm OpenVINO that improved the performance up to 1.5 times when using CPU.
7. Normalized the loading by cores on the 12th and 13th generation Intel processors and on Servers with two processors.

Update recommendations

1. 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.

2. For Face masking to work during export, it is necessary to have the Neuro Pack installed.
3. If you have the Move from area to area sub-detection tool created, you need to contact technical support and get a manual for updating.

Update limitations

1. When you update the Face Recognition Pack, 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.
2. To start and correctly run the basic Face detectiondetector on GPU, you must first create a cache Optimizing the operation of Face detection on GPU Image Added
3. Discontinued the support for the Intel HDDL devices.Removed the Move from area to area sub-detection tool from the current release to provide the support with Axxon One 1.0 software version. At the same time, the full compatibility is not guaranteed, there is no support for the declared functionality and the sub-detection tool optimization(Mustang-v-100) devices.
4. The mechanisms for launching neural network models have changed, that which is why some of the custom models (trained specifically for the object) may not can work correctlyincorrectly. If you encounter any difficulties, please contact  technical support technical support.
5. In this version of DetectorPack, you cannot filter objects by color when using sub-detectors (child detectors).
6. Replaced Face detector TV with Face detector VA. Discontinued the support for Face detector TV. Face detector TV and Face detector VA are incompatible.