Categories: Image

Made a local AI pipeline that yells at drivers peeing on my house

Last week I built a local pipeline where a state machine + LLM watches my security cam and yells at Amazon drivers peeing on my house.

State machine is the magic: it flips the system from passive (just watching) to active (video/audio ingest + ~1s TTS out) only when a trigger hits. Keeps things deterministic and way more reliable than letting the LLM run solo.

LLM handles the fuzzy stuff (vision + reasoning) while the state machine handles control flow. Together it’s solid. Could just as easily be swapped to spot trespassing, log deliveries, or recognize gestures.

TL;DR: gave my camera a brain and a mouth + a state machines to keep it focused. Repo in comments to see how it’s wired up.

submitted by /u/Weary-Wing-6806
[link] [comments]

AI Generated Robotic Content

Share
Published by
AI Generated Robotic Content
Tags: ai images

Recent Posts

[Sad] Zelda & Link don’t want to be toys anymore / MiniMax H3 Video

I know people aren't posting their videos made with MiniMax H3 anymore... Which is really…

14 hours ago

Building a Custom LLM Evaluation Harness in Python from Scratch

In this article, you will learn how to build a custom LLM evaluation harness in…

14 hours ago

The Design Space of Tri-Modal Masked Diffusion Models

Discrete diffusion models have emerged as strong alternatives to autoregressive language models, with recent work…

14 hours ago

Integrating Netflix’s Foundation Model into Personalization applications

Authors: Divya Gadde, Ko-Jen Hsiao, Dhaval Patel and Moumita BhattacharyaThe motivation for building the Netflix…

14 hours ago

Build self-improving document processing using Amazon Bedrock AgentCore

IDC research shows that document-related challenges cost organizations $19,732 for each information worker annually and…

14 hours ago

Predictable AI spend in BigQuery: Introducing cost management for generative AI functions

The generative AI functions in BigQuery (AI.GENERATE, AI.IF, AI.CLASSIFY, AI.SCORE, and more) bring large language…

14 hours ago