A major programming breakthrough in object recognition called Secondary Detection. Now civilians can evade deadly drone strikes with their android phones. If you don't know what secondary detection is, just read the article

https://www.academia.edu/116953723/Armaaruss_has_taken_control_of_the_sky_Simple_JavaScript_code_that_would_allow_the_average_person_to_evade_drone_strikes_with_just_their_android_phones

Otherwise, here is the APK file/app that works. (I tested it on Android).

https://www.webintoapp.com/store/308379

Ready for immediate deployment, this code combines both aspects of drone detection and human detection in one program. Both primary and secondary identification function in this program. Here is a working APK file that has been tested and is ready for active use and immediate deployment. This is an American english version

This JavaScript app for detecting drones and soldiers has several features. It comes with primary and secondary detection. Basic detection (white bounding box) is basic detection of an object using your device's webcam. However, primary detection does not respond to color calibration, which means that the result will be the same whether the screen or frame is light or dark. The secondary detection results are color calibrated, meaning that using different filters used to change the appearance of the frame/video will affect the secondary detection output. You can check this in the app by pressing the black button. The screen will go black, but still Primary detection can be enabled, while secondary detection can no longer display a bounding box. Secondary detection still works in that scenario, but cannot see or detect anything because the screen is black - it basically detects a black image, while primary detection is still processing the video output. The breakthrough is here is that the Javascript code for the secondary detection renders the webcam video output as an image instead of a video. A good way to understand secondary detection is to imagine a continuous upload of a new image file every second. With the default tensorflow object detection code, detecting objects in different images will need achieve a new image file upload every second to accommodate the secondary detection processes. This program, called Armaaruss UAV and Soldier Detection System, runs a tensorflow script so that each frame is detected and treated as an image, with bounding boxes displayed and removed with each frame. This is what makes Armarus the vision component different from other object detection programs. Secondary detection allows us to use invert colors as a makeshift night detection feature, further enhancing object detection capabilities without having to continously train new models. Here is an example of secondary detection tracking a Russian drone....

https://aviationweek.com/defense-space/multi-mission-aircraft/us-navy-begins-major-p-8a-upgrade