Test on the actual business scenario performance of STM32N6
Recently, we have completed the design of the magnetic suction structure scheme of this camera, and now it can be easily fixed by magnetic suction.
Camera magnetic suction installation
In addition, we tested the performance of the actual business scenario of STM32N6. We tested the number of people, carried out the real-time video stream detection of the model and added the logic of the cross-line count of the detection object. The actual test shows that the performance of STM32N6 is basically available in this application scenario, but there are some known performance boundaries. Because of the size of the input image, the detection of dense objects and the detection of small targets is not feasible in the actual situation. Therefore, even in the scenario of number statistics, it is only applicable to narrow walkways and sparse people flow scenarios, but it is still difficult to have a certain scene value. Therefore, it is applicable to non-intensive target detection and non-long-distance target detection.
AI Personnel Statistics Scenario Performance,Basically, there will be no low fps phenomenon.
Finally, at present, we are actively quantifying some .pt models of the open source community into STM32N6 directly usable model OTA packages for quick import into the device in the future. The quantified model will be open source for the community and can be publicly downloaded.
In addition, the firmware code on the hardware is also completely open source. As for the plan to replace the model, we have encapsulated the basic base. You only need to upload the AI model package on the web of the hardware. At the same time, you need to realize the remote AI model OTA, which is fully supported.
Finally, there is a problem. The built-in antenna will make it difficult and complicated to install the structure. The existing structure is too compact and difficult to install the built-in antenna, so we will further optimize it as an external antenna.
