Tyler

Senior AI Researcher For Perplexity | farm boy |
gh: tylerlicodes (my only account, be aware of frauds) | Do not message me with promotions

[Tyler @TylerLogics]

1/ STOP spraying entire fields with insecticides to kill a fly the size of a grain of rice.

just use an autonomous drone swarm with lasers instead.

Introducing Flyguard — a DJI-powered system that identifies horn flies on cattle and removes them with precision targeting.

yes, this is a real project.

[Tyler @TylerLogics]

Here is the official token address I’m claiming. There are no and will never be any other tokens:

3xvad5VtouLTGyLxdqf22ax9ujpg3kaoozyZmaCPpump

Thank you everyone ❤️

[Tyler @TylerLogics]

I’ll see you all live from Austin! 👀

[Tyler @TylerLogics]

Incoming transmission from FlyGuard.

After careful consideration, I’ve decided to begin claiming the https://t.co/mCgYElyZ1m fees generated by the project and directing those funds toward FlyGuard’s continued development, infrastructure costs, AI services, data providers, and ongoing research efforts.

I’m also formally endorsing the FlyGuard token as the community token behind the project. The goal is simple: create a sustainable path to continue building and expanding what FlyGuard can become.

What we’re building today is only the beginning. Over the past few months, I’ve been working on ideas and capabilities that push far beyond the current platform, and I’ll be sharing more details soon.

To give everyone a closer look at where FlyGuard is headed, we’re planning a live demonstration tommorow, most likely on Twitch, where I’ll showcase the framework, discuss the roadmap, answer questions, and share some of the conversations I’ve been having with potential investors and partners.

More details soon. FlyGuard is just getting started. 🛩️

[Tyler @TylerLogics]

Incoming transmission from FlyGuard.

After careful consideration, I’ve decided to begin claiming the https://t.co/mCgYElyZ1m fees generated by the project and directing those funds toward FlyGuard’s continued development, infrastructure costs, AI services, data providers, and ongoing research efforts.

I’m also formally endorsing the FlyGuard token as the community token behind the project. The goal is simple: create a sustainable path to continue building and expanding what FlyGuard can become.

What we’re building today is only the beginning. Over the past few months, I’ve been working on ideas and capabilities that push far beyond the current platform, and I’ll be sharing more details soon.

To give everyone a closer look at where FlyGuard is headed, we’re planning a live demonstration tommorow, most likely on Twitch, where I’ll showcase the framework, discuss the roadmap, answer questions, and share some of the conversations I’ve been having with potential investors and partners.

More details soon. FlyGuard is just getting started. 🛩️

[Tyler @TylerLogics]

After an unreasonable amount of model wrangling and coffee consumption, im ready to reveal some new big plans for Flyguard in the next ~hour

[Tyler @TylerLogics]

Good afternoon everybody. First would like to say thank you all for your support. Secondly thank you for your patience as this is my first time hearing about https://t.co/rTkHrYGqOa and how they partnered with GitHub to raise money for developers. Thanks to the creators of this coin as well.

[Tyler @TylerLogics]

GitHub contribution graph:

🟩 Build drone autonomy stack
🟩 Train computer vision models
🟩 Design laser safety interlocks
🟩 Implement hash-chained audit logs

Goal: annoy a fly 😅

[Tyler @TylerLogics]

horn flies: exist

me: what if we gave cows autonomous laser-equipped drones

3 months later and somehow that's becoming a real startup.

[Tyler @TylerLogics]

9/ if you've worked on insect tracking, precision targeting, agricultural robotics, livestock health, or related research—

reply below.

i'd love contributors, criticism, papers, datasets, and ideas.

let's see if we can build the world's first autonomous anti-fly air force. 🐂🛰️🪰

[Tyler @TylerLogics]

1/ STOP spraying entire fields with insecticides to kill a fly the size of a grain of rice.

just use an autonomous drone swarm with lasers instead.

Introducing Flyguard — a DJI-powered system that identifies horn flies on cattle and removes them with precision targeting.

yes, this is a real project.

[Tyler @TylerLogics]

7/ this project sits somewhere between:

agtech 🤝 robotics 🤝 computer vision 🤝 aerospace 🤝 photonic fence research

which means i'm constantly discovering fields i know absolutely nothing about.

8/ that's where you come in ⤵️

i'm looking for:
• entomologists
• cattle health researchers
• computer vision engineers
• robotics developers
• laser safety experts
• drone autonomy nerds
and anyone willing to tell me why this won't work.

[Tyler @TylerLogics]

Read more on it here:

https://t.co/AfGaZHTfoh

[Tyler @TylerLogics]

Hi everyone!

I've been building Flyguard in public for 3 months now and wanted to invite contributors as well as get some more direction (research-wise) on where to go next.

Flyguard is a DJI-borne autonomous drone swarm that watches cattle heards, identifies horn flies in real time, and neutralizes them with a precision laser while cattle and people are treated as protected entities the system will never fire near.

https://t.co/oA2ZDGVjPB

[Tyler @TylerLogics]

If you're more curious about Flyguard and would like to learn more about the motivation behind it, you can do so here on the official webpage:

https://t.co/AfGaZHTfoh

[Tyler @TylerLogics]

Started Flyguard as a personal project working + testing with my family's farm in Xinjiang, but after good results I'm exited to say that I have deployed 2 Flyguard Drones to help Ranger Cattle in Austin, Texas!

What is Flyguard?

Flyguard is an autonomous drone that protects cattle from horn flies (tiny blood-feeding pests that bite a single cow hundreds of times a day, costing the livestock industry billions in lost weight and milk). A DJI drone flies a programmed patrol over the pasture while an onboard computer runs a YOLOv11 computer-vision model that, dozens of times per second, spots and tracks individual flies on the animals (telling them apart from the cattle and any people nearby) then aims a small gimbal-mounted laser to neutralize the fly with a precise, low-energy pulse, all without chemicals or ear tags.

What makes it trustworthy is the safety engineering: every shot must pass 15 independent "interlocks" (a default-deny system that refuses to fire unless the target is confirmed a fly, the range is right, the aim is locked, and no person or animal's eyes are in the path), with a one-touch emergency stop and a tamper-evident, cryptographically hash-chained log of every action. It matters because it points toward a future of precision, residue-free pest control that improves animal welfare and protects the food supply. The goal is to replace broad chemical spraying with a machine that is equally as capable of removing multiple pests at a time.

I have open sourced the project on GitHub for individuals to setup and use themselves (with the correct hardware) and I am already working with the largest cattle farm in Austin with plans to expand more in the U.S.

Enjoy this video of me hosting and controlling this locally and even watching the control feed from my IDE!

[Tyler @TylerLogics]

👀

[Tyler @TylerLogics]

For farmers in Xinjiang, large fly populations can translate into lower profits and higher costs to protect their herds.

[Tyler @TylerLogics]

In Summary:

Horn flies are tiny biting flies that feed on cattle blood all day, causing stress and irritation. Infested cattle spend less time eating and growing, which can lead to lower weight gain and reduced milk production.

[Tyler @TylerLogics]

Long time working on this...

Going to make public soon but backstory first:

I grew up in Xinjiang, China raising cattle and horn flies were always a big issue.

Think of it like this irritation + blood loss -> decrease in milk production

I am very excited to show results