AI based automatic monitoring of CCTV Feeds

For the context, I have only completed a proof of concept for this.

What is it : It automatically monitors a CCTV feed for some kind of particular event that happens in the video, mind you I'm not talking about object detection, this is much more advance than that, the video frames are actually passing through a light weight LLM model which describes exactly what is happening in the CCTV video. For e.g. a person holding a weapon, what color shirt he is wearing, color of hair, next to car with color or car (and number if it's visible) etc.

Use : Set parameters on raising an alarm when certain specific events happens in the CCTV feed, for e.g. in a hospital, if the bed side monitor goes brady or tachy cardiac, SPO2 falls beyond certain value, or patient is looking restless, in a crowd, if any person is seen with a weapon, if camera pointed in front of a shop, anyone attempting to meddle with locks etc.
It is kind of like a person is always monitoring the CCTV and raises an alert for a very specific kind of event which is beyond just an object detection.

Let me know how does it sounds and would it find any commercial value.
Thanks in advance.

reddit.com
u/haskell_java — 6 days ago

AI based automatic monitoring of CCTV Feeds

For the context, I have only completed a proof of concept for this.

What is it : It automatically monitors a CCTV feed for some kind of particular event that happens in the video, mind you I'm not talking about object detection, this is much more advance than that, the video frames are actually passing through a light weight LLM model which describes exactly what is happening in the CCTV video. For e.g. a person holding a weapon, what color shirt he is wearing, color of hair, next to car with color or car (and number if it's visible) etc.

Use : Set parameters on raising an alarm when certain specific events happens in the CCTV feed, for e.g. in a hospital, if the bed side monitor goes brady or tachy cardiac, SPO2 falls beyond certain value, or patient is looking restless, in a crowd, if any person is seen with a weapon, if camera pointed in front of a shop, anyone attempting to meddle with locks etc.
It is kind of like a person is always monitoring the CCTV and raises an alert for a very specific kind of event which is beyond just an object detection.

Let me know how does it sounds and would it find any commercial value.
Thanks in advance.

reddit.com
u/haskell_java — 7 days ago

Looking for honest feedback from food truck owners on a new rush-control app I built

Hi everyone,

My name is Amit, and I'm a professional Application Architect with over 14 years of experience designing and building software.

Over the past several months, I've been working on a prepaid rush-control app built specifically for food trucks. The goal is to help vendors better manage peak-hour demand by allowing customers to place prepaid orders, making busy service windows more organized and predictable.

You can check it out here: Orderly.food

I also want to mention something that's becoming increasingly relevant today: this isn't an AI-generated "slop" application. Every aspect of the app—from the user experience and interface to the backend architecture—has been thoughtfully designed and carefully engineered. I've built it with scalability, reliability, and long-term usability in mind because I genuinely believe software should be crafted, not merely generated.

The app has just launched, and before I invest more time adding new features, I'd really like to hear from the people it's built for.

If you're a food truck owner and are willing to give it a try, I'd sincerely appreciate your honest feedback—whether it's positive, critical, or somewhere in between. As a thank-you for your time, I'll gladly provide one month of the Pro subscription to anyone who tries the app and shares genuine feedback.

I understand many of you have probably seen similar apps, pitches, or ideas before. That's completely fair. All I ask is that, if you're interested, you evaluate this one on its own merits.

I welcome respectful and honest opinions—even if they're critical. That's how good products improve. What I don't welcome is disrespectful or personal comments.

If this app simply isn't for you, that's perfectly okay. You're under no obligation to respond. Feel free to skip this post and continue with your day.

Thank you for taking the time to read this. I genuinely appreciate any feedback you're willing to share, and I hope to build something that truly serves the food truck community.

reddit.com
u/haskell_java — 7 days ago

Food truck operators: would this help during busy service?

Hi everyone, I’m Amit, a software developer and solutions architect with 14 years of experience.

I’m working on a tool for food trucks to manage rush-hour ordering, and I’d love to understand real operator pain points before assuming too much.

The idea is to help with things like QR menus, online orders, kitchen display, pickup slots, walk-up orders, menu availability, customer alerts, and basic analytics. Most importantly it works on high scale also.

For food truck owners/operators here:

What is the hardest part of managing orders during a rush?

Do online orders help, or do they create more chaos?

Would combining walk-up and online orders into one kitchen queue be useful?

What would make a tool like this actually worth using during service? Would a feature like 'Location performance' be of value ?

I understand that you might have come across many such things, but I would still like to dig into this.

I’m not posting a link here because I want to respect the self-promotion rules. If anyone is open to giving feedback or testing privately, feel free to comment and I can follow the subreddit’s/mods’ preferred process.

reddit.com
u/haskell_java — 8 days ago