Richard Golian

1995-born. Charles University alum. Head of Performance at Mixit. 10+ years in marketing and data.

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Richard Golian

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I Ran Object Detection on My Laptop, and Saw Everything Is Possible

How a free local AI model that runs object detection on my laptop, even in the dark, changed what I think is possible.
Richard Golian
Richard Golian · 800 reads
Hi, I am Richard. On this blog, I share thoughts, personal stories, findings and what I am working on. I hope this article brings you some value.

A few weeks ago I installed a small local AI model on my laptop. It watches a live camera feed and works out what is happening in it. I turned the webcam on in the dark. In near total darkness it recognised me and the objects in the room.

a local AI model detecting objects on a live camera feed in the dark
Detection on a live feed in near total darkness, on my laptop.

That such things exist, I have known for a long time. Something else opened my eyes. The accessibility. I installed it in one prompt. Free. It runs entirely on my machine and sends data nowhere. And the quality. This is not a tool locked in a laboratory with a budget. It is available to anyone, right now, at this quality.

Anyone today can build an intelligent camera system and automatically analyse whatever they need on a live feed. They can program it and fine tune it themselves, with the help of AI.

That is the idea. Not that AI can do remarkable things. We know that. But that the capability is in anyone’s hands. Free, local, in one prompt.

That the ability to give AI not only eyes and ears, but also arms, legs and wings, is within anyone’s reach. In other words, that anyone who truly wants to can put capabilities like this intelligent AI vision into their existing hardware, teach a machine to move on its own and assess its surroundings. The result could be a drone that sprays a field against pests, or a security system for your own home.

More and more I realise that everything is already possible today. And if I do not know how to do something, it only means that I do not yet see far enough to see it.

Text Was Only the First Layer

Anyone who thinks AI is only about generating text or images should finally wake up. Everything that is digital, or can be digitised, is automatable and will be automated. Whether today, tomorrow, in a year or in two. It is decided.

The barrier to automation is not whether the task is done on a computer. It is whether the thing that performs the task has a computer inside it. If it does, AI will be able to control it.

When someone today connects AI to an analytics tool, it feels to them like the summit. It is not. It is the lowest layer. It is software, and software is text.

Above it sits an agent, which does not wait for an instruction at every step. It is given a goal and chooses the steps itself. And above that, the machine. A camera, a drone, a robotic arm. Physical hardware running on ones and zeros is only another layer of the same thing.

I will not pretend that every layer is equally easy. It is not. The further from text, the harder it gets: hardware, safety, regulation, physical risk. But at the same time it becomes more and more accessible by the day. What two years ago required a team and a budget, I did in five minutes, in one prompt, on a laptop.

If you decide to automate some process, it does not matter whether it is automating your newsletter or growing cucumbers. You can. You only need to choose the process, tell the right AI tool about it, and it will guide you.

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Summary

I installed a small local AI model on my laptop. In near total darkness it recognised what was in front of the camera. That such things exist, I knew. What surprised me was the accessibility. Text is only the first layer. The barrier to automation is not whether something runs on a computer, but whether it has a computer inside it.

Common questions on this article's topic

What is object detection?
Object detection is a computer vision task where the model finds and labels the things in an image or video, for example a person or a car, and marks where each one is. The model I ran does this on a live camera feed in real time.
Can AI see in the dark?
Within limits, yes. The model I ran recognised me and the objects in the room in near total darkness, working from the ordinary webcam picture. It is not thermal imaging, it is a detection model reading a very dark frame.
How do I run object detection locally?
You download a small model and run it on your own machine, with no cloud service in between. I installed one on my laptop in a single prompt. It watches a live camera feed and works out what is in front of it, and everything happens on the device.
Is a local AI model private?
Yes. A local model runs entirely on your own computer and sends nothing anywhere. In my case no image and no data left the laptop. That is the main reason to prefer a local model over a cloud service for anything sensitive, such as a camera feed.
Can I run object detection for free on my laptop?
Yes. The model I used was free and ran on an ordinary laptop, with no subscription and no per use cost. The only real requirement is enough memory to load the model.
What can a local AI model do besides text?
It can see. The one I ran does live object detection from a camera. The same approach reaches anything with a computer inside it, which is the whole point of the article. Software was only the first layer.
Richard Golian

If you have any thoughts, questions, or feedback, feel free to drop me a message at mail@richardgolian.com.

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