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another example: a developer used the exact same $8 ESP32-S3 chip and local AI setup to build a real-time object recognition camera the fact that this is running entirely offline, on an eight-dollar microcontroller, without any cloud API calls, is wild... it captures the video feed, processes it locally... show more

ard

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230,333 Aufrufe • vor 3 Monaten •via X (Twitter)

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46 Kommentare

Profilbild von Marc The Shark

Marc The Sharkvor 3 Monaten

I’m doing something similar but just running computer vision at the edge and then gets laid back to my agents as needed. I like what you were doing.

Profilbild von ard

ardvor 3 Monaten

your implementation sounds cool!

Profilbild von ɢᴀᴅɢᴇᴛɢᴀᴢ ⌁⌁

ɢᴀᴅɢᴇᴛɢᴀᴢ ⌁⌁vor 3 Monaten

I used one to build this.

Profilbild von ard

ardvor 3 Monaten

this is really cool, have you thought about working on this as a commercial product?

Profilbild von ɢᴀᴅɢᴇᴛɢᴀᴢ ⌁⌁

ɢᴀᴅɢᴇᴛɢᴀᴢ ⌁⌁vor 3 Monaten

Thanks, i have actually there is definitely a gap in the market for smart cat toys. The ones on the market all do the same thing just a laser or a bit that spins, cats are incredibly intelligent and soon predict the patterns and get bored. Thats what made me build it, this is just version 1 next I’m gonna add a camera so it knows when the cat is present and its location with the computer vision ai model. Then use that information to move the feather accordingly and automatically evading the cat like a real prey animal would.

Profilbild von Jurly

Jurlyvor 3 Monaten

that's a powerful demo of edge AI — the real test is how well it handles occlusion and lighting changes at that price po

Profilbild von ard

ardvor 3 Monaten

i think at this price it doesn't matter at all

Profilbild von MAX

MAXvor 3 Monaten

Cheap hardware plus local AI is opening up a lot of possibilities.

Profilbild von ard

ardvor 3 Monaten

fact

Profilbild von Misato

Misatovor 3 Monaten

the $8 chip doing this is still insane🔥

Profilbild von ard

ardvor 3 Monaten

hell yeah

Profilbild von Tony Scott 🧄(🦆🐓🐵🧪🧬🪪)❌=↑🧄🧄🧄🥩🥚🧀↓👽👾🤖

Tony Scott 🧄(🦆🐓🐵🧪🧬🪪)❌=↑🧄🧄🧄🥩🥚🧀↓👽👾🤖vor 3 Monaten

Object detection means autonomous targeting capability.

Profilbild von Kaworu

Kaworuvor 3 Monaten

we are giving dumb objects a brain now🙃

Profilbild von ard

ardvor 3 Monaten

i'm waiting for this device to run Doom using a local AI

Profilbild von david

davidvor 3 Monaten

Excellent. I have the same ESP32, and let me replicate.

Profilbild von ard

ardvor 3 Monaten

you can try this

Profilbild von M1Lo

M1Lovor 3 Monaten

How mucho local memory?

Profilbild von ard

ardvor 3 Monaten

512 KB of fast SRAM and 16 MB of flash

Profilbild von Richard Rice

Richard Ricevor 3 Monaten

Woot woot. Pieces 😉

Profilbild von christian coler

christian colervor 3 Monaten

Idiots who have a child's understanding of LLMs and zero understanding of microcontrollers talking about a "hardware barrier" being shattered by this or a tiny LLM running on an ESP32, as if the former is revolutionary or later is beneficial to an average person's usecase

Profilbild von Ahnaf Shahriar

Ahnaf Shahriarvor 3 Monaten

Yolo models are goated in local image recognitions 🔥

Profilbild von ɢᴀᴅɢᴇᴛɢᴀᴢ ⌁⌁

ɢᴀᴅɢᴇᴛɢᴀᴢ ⌁⌁vor 3 Monaten

This chip will get you running but the camera will have its limitations. Such as resolution and sensors this will give you at best VGA quality.

Profilbild von Aenish Shrestha

Aenish Shresthavor 3 Monaten

Is this an open source project ?

Profilbild von 🎶

🎶vor 3 Monaten

Important step towards singularity immersion

Profilbild von Nicolas S. 🛰️

Nicolas S. 🛰️vor 3 Monaten

Not sure but you said “$8 chip *and local AI setup*”. So my understanding is that the ESP32-S2 only captures, streams to video feed to a nearby, potentially beefy, laptop and *that’s* what running the AI and doing the recognition, correct? Or are you saying the S2 is autonomous?

Profilbild von Osaker

Osakervor 3 Monaten

老实说，对比一个中国量产带PTZ的 CCTV，这个价格对这程度的功能，CP值并不算高…

Profilbild von CB

CBvor 3 Monaten

Bit of an overstatement

Profilbild von EVIL:/GriN

EVIL:/GriNvor 3 Monaten

Ah the last time I tried esp32 cam it got turned to crisp 😭

Profilbild von Nico

Nicovor 3 Monaten

Well done to the dev! Inference rate is too slow for anything safety related but slap that onto your home security and for $10 bucks you’ve got a killer setup.

Profilbild von AI Mastery Guide

AI Mastery Guidevor 3 Monaten

Real time object recognition for under $10, that barrier is really gone now.

Profilbild von SushiDude

SushiDudevor 3 Monaten

my 10yo son made this a year ago for birds outside with Claude Cli

Profilbild von ard

ardvor 3 Monaten

this is so cute...

Profilbild von Sebastian Buzdugan

Sebastian Buzduganvor 3 Monaten

the hard part is not esp32-s3 inference, it is stable camera input in bad light

Profilbild von 🏴‍☠️BOSSDOG🏴‍☠️

🏴‍☠️BOSSDOG🏴‍☠️vor 3 Monaten

lol Blue Iris has been doing this for 10 or more years with yolo.

Profilbild von 𝛼 ✨

𝛼 ✨vor 3 Monaten

how the hell is this possible

Profilbild von Proyecto5T ➡️ 2024-2030

Proyecto5T ➡️ 2024-2030vor 3 Monaten

@BrianRoemmele

Profilbild von Zak Allal

Zak Allalvor 3 Monaten

fact-check this tweet by @ardchain. The $8 ESP32 isn’t running YOLO11, it’s a webcam feeding the PC that is running YOLO11. The LLM was trained only on TinyStories &its author says it “will not answer questions, nor follow instructions, nor write code, nor know facts.” The 512KB claim omits the 8MB PSRAM. No barrier was shattered.

Profilbild von Anthum AI

Anthum AIvor 3 Monaten

$8 for real-time local object recognition is genuinely nuts. No cloud, no API cost, just glue it onto whatever you want.

Profilbild von 安叫兽|Bird🕊️ 🔶 BNB

安叫兽|Bird🕊️ 🔶 BNBvor 3 Monaten

八美元小板子跑成这样，离线这点太狠了

Profilbild von Modernus Cicero

Modernus Cicerovor 3 Monaten

The S3 is a nice little package.

Profilbild von Vova

Vovavor 3 Monaten

I’ve built that using ESP32

Profilbild von ard

ardvor 3 Monaten

looks stylish

Profilbild von Terri St. Quill

Terri St. Quillvor 3 Monaten

I have GOT to know more about this!!

Profilbild von unchosen.eth

unchosen.ethvor 3 Monaten

edge ai keeps becoming more practical

Profilbild von MAGIC KOM chanell

MAGIC KOM chanellvor 2 Monaten

Cool stuf

Profilbild von Chuck Petras

Chuck Petrasvor 3 Monaten

@BrianRoemmele

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btw this robot runs on a fully open source AI framework called Xiaozhi it turns a $8 ESP32 chip into a fully autonomous voice assistant NO expensive cloud servers or high latency wake-word detection and audio streaming happen locally on the chip: > requires only an ESP32-S3, a microphone, and a basic speaker > supports real-time conversational voice interaction > completely open-source and customizable for any DIY robotics project anyone can now build a personal AI companion for the price of a cup of coffee. (github link in the replies)

ard

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Every time I think the ESP32-S3 has hit its limit, someone finds another gear. This open-source Jet renderer is now pushing the S3 even harder. Real-time screen-space reflections, water ripple distortion, lens flare and 8 ships on screen, all running on a tiny MCU. Performance dropped from around 60 FPS to 45–50 FPS, but that's still wild for an ESP32-S3. And the developer thinks there is more performance left to squeeze out. No GPU. No desktop CPU. Just an ESP32-S3 doing real-time 3D graphics.

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36,141 Aufrufe • vor 3 Monaten

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Irvin (in Japan 🇯🇵)

23,374 Aufrufe • vor 7 Monaten

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An 8-year-old turned an $8 microcontroller into a fully offline, voice-controlled AI storyteller. No Wi-Fi. No cloud. No API. Using an ESP32-S3, INMP 441 mic, i2s speaker and Max 98357A amplifier, Laksh built a bot that generates stories, creates animations, reads them aloud and responds to voice commands: play, pause, resume and next story. He built it by forking the brilliant open-source TinyStories LLM for ESP32 created by Slava S.. It had text. Laksh added voice, interaction, controls and animation. Git repo: Current drawback: bad English TTS on the ESP32. So that is what we are building next.

Capt Venkat 🇮🇳

167,029 Aufrufe • vor 3 Monaten