simbaz

7 ms·

1.
by simbaz 6mo ago
It gives OpenClaw its own isolated Docker workstation so it doesn't touch your local file and passwords, then records what it does — screen, console, network — and uses AI to analyze the recordings. The idea came from a simple problem:
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Show HN: CameraClaw – Record what your OpenClaw does in a local sandbox(github.com)
3 points by simbaz 6mo ago|1 comments
3.
by simbaz 7mo ago
The world's first AI Home Security Agent for your home. Runs on your Mac or PC — even a Mac M1 Mini with 8GB RAM can deploy a LFM2.5 model for video analysis. Connect any camera you already own — Ring, Blink, DaHua, HikVision, Reolink,
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Show HN: I built Aegis AI – An Agentic Home Security w/ GPT+Local VLM on Mac/PC(sharpai.org)
1 points by simbaz 7mo ago|1 comments
5.
by simbaz 6y ago
The cameras don’t watch over, just feel and tell… When the video is needed indeed, but not always. So can we make a camera which is just blind and still tell things in other ways: how long have I studied, how often I do the work-out, etc… H
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Show HN: Turn Android into AI Blind Camera(aicamera.io)
1 points by simbaz 6y ago|1 comments
7.
by simbaz 6y ago
Hi, Mattlondon, it's really nice to have your reply. You are asking a good question, the 'Mali GPU' supporting is not for RPi, it's on the board which has 'Mali GPU' as RK3288/3399 or others (MTK/....
8.
by simbaz 6y ago
yes, it would be really nice if run on Jetson Nano with GPU accelerator...
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Show HN: Open-source Face Recognition on Raspberry Pi 3/4(github.com)
62 points by simbaz 6y ago|13 comments
10.
by simbaz 6y ago
Privacy is the most important issue for the AI surveillance camera. Use open source and BYOD server is the only way to solve this problem. SharpAI DeepCamera provides private cloud architecture to save all your information on your own stora
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Protect your privacy, watch your place, easy on Android Camera(github.com)
1 points by simbaz 7y ago|0 comments
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Open Source Edge AI Platform with AutoML(github.com)
4 points by simbaz 7y ago|0 comments
13.
by simbaz 8y ago
1. No production implemented the feature we open sourced. This is unique. 2. Whole thing(AI Inference/Classifier training) are offline. 3. ARM did it. 4. We have classifier training on the embedded system. 5. I calc the
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by simbaz 8y ago
Three years ago, we decided to develop production on the hottest area: machine learning/deep learning. We tried several cloud option, but can't make real production due to cost and other limitation. So, we start to develop this pr
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Show HN: DeepCamera – Turn Camera into AI-Powered with Embedded/Android/Pi etc.(github.com)
14 points by simbaz 8y ago|4 comments
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Empower Surveillance Camera with AI/Deep Learning on Raspberry Pi(github.com)
14 points by simbaz 8y ago|2 comments