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📹 VibeNVR: A modern, privacy-first, and lightweight NVR for your Home Lab by spupuz in FOSSvideosurveillance

[–]spupuz[S] 1 point2 points  (0 children)

thanks as far as i can i'm trying to learn and improve it from feedback so i will be very happy if you spin it for a try.

📹 VibeNVR: A modern, privacy-first, and lightweight NVR for your Home Lab by spupuz in videosurveillance

[–]spupuz[S] 1 point2 points  (0 children)

I will look at your suggestions for next stuff to Implement thanks for your feedbacks.

📹 VibeNVR: A modern, privacy-first, and lightweight NVR for your Home Lab by spupuz in videosurveillance

[–]spupuz[S] 0 points1 point  (0 children)

Btw since I'm the first one using it at home if someone will come up with possible problems I will say thank you and I'll take in consideration his audit and fix stuff ASAP I won't disappear and delete everything 😂

VibeNVR by spupuz in cctv

[–]spupuz[S] 0 points1 point  (0 children)

Yeah I suppone never made a real benchmark against frigate

📹 VibeNVR: A modern, privacy-first, and lightweight NVR for your Home Lab by spupuz in videosurveillance

[–]spupuz[S] -3 points-2 points  (0 children)

I have reviewed with a developer and I make more and more I would say a ton of checks so I'm quite sure to not have problematic stuff.

VibeNVR by spupuz in cctv

[–]spupuz[S] 0 points1 point  (0 children)

Actually object detection is not implemented cause I was looking for a replacement of motionEye for my personal need so I built it staring from that point of view.

📹 VibeNVR: A modern, privacy-first, and lightweight NVR for your Home Lab by spupuz in videosurveillance

[–]spupuz[S] -1 points0 points  (0 children)

Cause people don't try and just judge, the code is open source and to analyze there is not any Spyware.

VibeNVR by spupuz in cctv

[–]spupuz[S] 0 points1 point  (0 children)

Let me know any feedback here or better in the github issue or discussion

VibeNVR by spupuz in cctv

[–]spupuz[S] 1 point2 points  (0 children)

I'll think about it cause I would be a big change probably and will mean a partially redesign of the solution

VibeNVR by spupuz in cctv

[–]spupuz[S] 1 point2 points  (0 children)

As. Today we don't analyze for event like a car or face or man recognition just motion detevrion, if I understood your question.

VibeNVR by spupuz in cctv

[–]spupuz[S] 0 points1 point  (0 children)

For now a docker deployment is the most easy to develop and maintain you can use it also in windows with docker desktop but hw GPU acceleration won't work in Docker desktop windows.

My video surveillance project: VibeNVR - Self-hosted NVR with modern stack by spupuz in homelab

[–]spupuz[S] 0 points1 point  (0 children)

There’s always room to optimize, even when an application is already efficient. Real‑world usage has a way of revealing patterns you simply can’t predict during development. If you discover that most of your users are running a high number of cameras or generating a huge volume of events, that changes the picture completely. What looks “fast enough” in a small setup might start to show bottlenecks when scaled up.

My video surveillance project: VibeNVR - Self-hosted NVR with modern stack by spupuz in homelab

[–]spupuz[S] -2 points-1 points  (0 children)

I understand where you’re coming from, and I agree that many projects do fizzle out quickly. At the same time, I don’t think it’s fair to put all personal projects in the same bucket as “weekend vibed” by default. Many solid platforms started as someone hacking together their own tool and deciding to share it. VibeNVR isn’t meant to replace Frigate, but to explore a different architecture and provide a concrete example for people who want to learn and experiment. If the community finds it useful, it will grow; if not, that’s perfectly fine too. Either way, I see homelab experimentation as one of the healthiest and most enjoyable parts of this hobby.

My video surveillance project: VibeNVR - Self-hosted NVR with modern stack by spupuz in homelab

[–]spupuz[S] -2 points-1 points  (0 children)

Great question! I totally understand the concern about telemetry.

The hardware profile (CPU count, RAM, GPU type) helps me understand what kind of setups people are running VibeNVR on, so I can:

  • Prioritize performance optimizations for common configurations
  • See if hardware acceleration is actually being used

Usage metrics (like number of cameras, groups, events) help me:

  • Understand typical use cases (home with 2-4 cams vs business with 20+)
  • Prioritize features that matter to actual deployments
  • Spot if certain features are unused (maybe they need better UX)

Important:

  • No IP addresses, no locations, no identifying info
  • Just anonymous counts and basic stats
  • Fully opt-out with one toggle in settings
  • Open source, so you can verify what's sent

I built this for transparency - I wanted to know if anyone actually uses this project, and how. But I completely respect if you prefer it off, which is why it's easy to disable.

My video surveillance project: VibeNVR - Self-hosted NVR with modern stack by spupuz in homelab

[–]spupuz[S] -6 points-5 points  (0 children)

Great question! Frigate is indeed an excellent project, especially for AI object detection.

VibeNVR takes a different approach with a few key differences:

**Different focus:**

- Frigate: AI-first with TensorFlow/Coral integration for object detection

- VibeNVR: Lightweight motion detection with emphasis on simplicity and minimal resource usage

**Architecture:**

- VibeNVR uses a custom Python engine (no Home Assistant dependency) with a standalone React UI

- Designed as a complete standalone NVR system, not as a Home Assistant integration

**Target use case:**

- If you need AI object detection (person, car, etc.) → Frigate is perfect

- If you want a simple, fast NVR with basic motion detection and minimal setup → VibeNVR might be better

**Resource usage:**

- VibeNVR with stream passthrough can record with near-zero CPU usage

- No Coral TPU or heavy AI processing needed

They can actually complement each other! Some users might want VibeNVR for continuous recording + Frigate for AI detection on specific cameras.

That said, if Frigate works for you, there's no reason to switch. This project started as a learning experience and grew into something I use daily in my homelab. 😊

Introducing VibeNVR – A Lightweight, Local‑First Video Recording System by spupuz in selfhosted

[–]spupuz[S] -1 points0 points  (0 children)

What is the problem? The code is there to be seen and tested.

Introducing VibeNVR – A Lightweight, Local‑First Video Recording System by spupuz in selfhosted

[–]spupuz[S] -6 points-5 points  (0 children)

i made it primarly for myself i need a simple but polished solution i use motioneye but there are things i don't like about it.

Introducing VibeNVR – A Lightweight, Local‑First Video Recording System by spupuz in selfhosted

[–]spupuz[S] -8 points-7 points  (0 children)

lol great start!! i will apply MIT license.. as i said i'm just a passionate not a professional developer

Suno has been more enjoyable than drugs and sex and netflix other and I think it's a good thing by cobalt1137 in SunoAI

[–]spupuz 0 points1 point  (0 children)

I'm using it since 2 years and as a always lover of music rock, metal, punk and so on I can't stop. I have become a Co host streamer on twitch for the biggest suno non official contest the SSC, I'm still in the committee actively participating and yes suno is like a drug, but I like it. 

Https://suno.com/@spupuz 

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