PDFSage Device Tools 4+

1.5 update: yt-dlp and ffmpeg coming; IVS; lots of mock and real hacking tools; login support and AIPoints integration for advanced AI features comiing 1.6 or 1.7

1.5 update: yt-dlp and ffmpeg coming; IVS; lots of mock and real hacking tools; NFC commented out until 1.6; login support and AIPoints integration for advanced AI features comiing 1.6 or 1.7

Coming soon in 1.6: Inspired by the MQ-1 Reaper drone and Hellfire fire-and-forget missiles, I decided to use LiDAR and some clever math combining LiDAR with machine vision on iOS Pro models, to create an automated fire-and-forget weapons system very similar to the MQ-1 equipped with Hellfire missiles in Project Maven. I may use a Raspberry Pi 4 I'm not sure yet, to control the hardware. Raspberry Pi is a pretty solid hardware controller and has variable voltage out to directly control an electric motor.

In a related lawsuit, the developer Bo Shang has made application security threats into Twitch systems, past Apple and Google's operating systems, in Federal court here: https://ecf.cand.uscourts.gov/cgi-bin/DktRpt.pl?436941

Docket number 14 and 30 are opinions by the Judge, and docket 31 contains my application security threats. My 2020 Github repository "Project Maven Twitch" featuring a list of "criminal_suspects" is near completion.

Project Maven (officially Algorithmic Warfare Cross Functional Team) is a Pentagon project involving using machine learning and data fusion to process data from many sources, identify potential targets, display information through a user interface, and transmit human decisions to weapon systems, among other functions. It began in 2017. Since 2021, it had been used in multiple military conflicts involving the US.

Salt Typhoon with its investigation called off by the Trump Administration already, with only Verizon out of all US telecommunications networks claiming it repelled the hackers, makes everything look super vulnerable, and the reality is that humans are vulnerable regardless of whom you may be.

In 1.4 and 1.5: However unlike ungodly expensive cars that will never self drive despite marketing data, which may make a consumer lawsuit viable I'm not sure, since this iOS pro models, DOES have LiDAR and continuous mapping up to a certain limitation, there are probably possibilities of tagging people to shoot, while maintaining continuously accurate geospacial awareness of phone, tag, and automated weapons system. I have to go shopping for programmable weapons systems soon... There are other ways to implement weapons systems and I'll explore all of them... thank you TIm Apple for brining LiDAR to a phone to play around with and learn from.

The home screen displays core device information such as model and OS version numbers, and dynamically updated information for the CPU, GPU, RAM, SSD, etc.

The Device Sensor Tools button on the top takes you to useful tools that rely on the device sensors; try out LiDAR especially around corners!

The Kali Clone Tools button on the top right takes you to very basic tools found in Kali Linux, the most advanced penetration testing platform ever. In the future smart tools may be added but try actual Kali for real pentest this is just a tease.

If anyone has robots or tools that are actually workable with Apple Vision (or better custom import) 5x telephoto 12mp, or other UI Tools (tools that within this app, is just a UI connected to external) that may make sense, feel free to contact at bo@pdfsage.org