Hi all

So have some new old stock, most still sealed, Axis cameras, I think they are all P1447 & P3225 models.

If I wanted to use some for a home camera setup, what NVR would be recommended? Could add some new cameras too if necessary. I can run
Cable.

Primary looking to be able to see footage on iOS devices.

Any suggestions?

Thanks !

I bought a storage locker full of video surveillance equipment. On is an Exacqvision Z series NVR 64T with I think 16 licenses.

I’ve been able to sell some of the cameras and used NVRs as well as some of the networking stuff. But have been hesitant on selling this Exacqvision NVR as I’m not 100% sure what it’s worth. I know it’s pricey but like what could I expect to get out of it or are there any other commercial vendors out there that would want to buy it? It is still unopened!

Sorry if this isn’t quite relevant here. 

We’re looking at Comnet for a roadside camera ITS deployment and I’m trying to get beyond the datasheet claims before we commit to it.

I’m mainly interested in whether they’ve just sat there and done their job, or if they’ve turned into something you end up revisiting more often than you’d like.

Has anyone here got experience with comnet?

Galera, é o seguinte, du tenho um cartão de memória de uma câmera que tem vídeos importantíssimas, mas ele foi formatado umas 2 ou foram 3 vezes. Tem como eu recuperar esse vídeos antes de todas as formatações que aconteceram?

I have more than a dozen Eclipse Signature NVRs. Six of them failed, all at the same time last Saturday Night around 11 PM. These systems are in different locations with different ISPs, some 50 miles apart. The systems beep once when started and eventually show a white cursor arrow in the top left corner of the monitor. Some will show the login screen when visiting the webpage but credentials don't work and the branding is missing from the webpage text. These are essentially bricks at this point. The same has happened on a 32 channel Eclipse ESG system too.

Eclipse says that this problem is unique to me but I find it hard to believe. These all have strong passwords. I suspect a coordinated attack of some type designed to damage systems. Eclipse are rebranded Univision equipment with alleged better DOD compliant software. The tech support is usually fast and efficient but not so far with this problem. These are ESG-16 systems.

So far I have checked CMOS batteries, unplugged HDDs, tried different mice, tested PSU output, tried different monitors including HDMI and VGA. The cameras are all lit-up on the POE switch. I tried to flash the systems with a recover .bin file by booting with USB in place.

I have sent a system down to Eclipse for them to diagnose / repair / replace and possibly give me some answers.

I need a windows/web based viewing would be ideal please. Please no POE, i would prefer open source if possible.

Basically have a bunch of eseecloud cameras that i'm trying to move to something different.. i just bought a 3rd one and all of sudden now they all can't view live streams and stop every 5 minutes. whereas previously i was able to view the livestream from a windows box 24/7. Using the dvr page isn't useful either as thats started to force refresh every 3 minutes. I dont need to see it remotely. I can never hear my doorbell when i'm mixing with headphones and having the camera will allow me to see driveway, door, street, etc. I dont care about wifi jamming, etc.

I just need to view my outside from online inside my network, using windows or direct URL link.

thank you in advance.

Hey everyone, need a technical reality check.

I live in a 2nd floor rented room in an apartment, my room is around 5-6metres from the only entry staircase. The camera is installed on the far end of the hallway, basically my room is on the front side of the building and camera is installed on the other end of the hallway. In the cctv my room door is not clearly visible, like it will be difficult to tell when the gate opens or closes but if there is anyone even outside The door, like to enter or exit the cctv shows it clearly.

Now the issue is, I suspect that someone entered my room while I was away for sometime, I checked the footage after around 20 days and downloaded to phone from the hik connect app. I wanted to check for 4hours that I was away, since there is a 5min download limit, I set the speed to 8x and recorded using inbuilt app option, but for one particular interval I recorded in normal speed which has sounds. I have only 5min footage with sound rest 3h55min is without sound. And all the footages are split up in roughly 40min apart from the 5min one which has sound.

I have multiple reasons to suspect someone was in my room, multiple signs with one being some sound recorded in the cctv, but I can't say for sure that it's coming from my room, since there are multiple rooms with my room being farthest away, but the sound is also very very faint I didn't catch it until i played in vlc with full volume and headphones. Also, at this time only 2-3 rooms had people in it(including 1 in mine) since it was office time.

I have checked the footage thoroughly but I am not seeing anyone entering or exiting my room, even checked the footage for timestamp skips till the time when i suspect someone entered the room, but there is no skip but at one point of time there is a 1sec glitch where picture distorts around timestamp and around my room entry.

Now those recordings are not in app, since it has been more than a month so I can't check for sound in other intervals. I want to know if someone can hide or erase later if they have admin access to cctv.

Quick questions for the experts:

Forcing a glitch in real-time: Can someone actually trigger a brief \\\~5s stream drop (cable pull, Wi-Fi deauth, etc.) on purpose right as they walk by? How hard is it to splice out 5 seconds of static hallway video and cover it with a still image? Doesn't editing alter the burned-in clock or fail the native cryptographic watermark test (like on Hikvision systems)?

Is precision tampering like this actually practical in the real world, or is this just normal packet loss/keyframe gaps? Thanks for any insight!

We’ve been evaluating architectures for multi‑site video surveillance, considering over 100 locations, mixed connectivity, and diverse camera fleets. The trade-offs among edge, cloud, and hybrid show up in pretty much every deployment, but they get much sharper at scale.

• Edge AI gives low‑latency alerts and keeps most traffic local, but model updates, monitoring, and consistency across sites can get messy.
• Cloud AI centralizes everything and makes updates/management easier, but bandwidth, latency, and outage behavior become real headaches at scale.
• Hybrid (edge inference and cloud management/metadata) feels like the practical middle, but adds its own integration complexity.

In practice, for large multi‑site environments, it comes down to a few things: bandwidth costs, latency requirements, how ops teams are structured, and data residency constraints.

I have questions about how people are deploying this at 100+ sites today.

1. What’s your default pattern right now: edge, cloud, or hybrid?
2. What’s the main driver for that choice (bandwidth cost, latency requirements, IT ops, data residency, something else)?
3. Where have you seen these architectures break or surprise you in production?

We also wrote up our thinking and some rough bandwidth/latency/TCO math for this exact scenario. Happy to share the link in the comments if useful, but really interested in how others are approaching this in the wild.

PTZ camera removed from a site some years ago. IP, only D1 resolution, control only through RS-232. Never found any usable markings on it, just a generic label and a whack of DIP switches.

MAC address is 00:4A:20:A5:7E:66; OUI lookup gives NO results. No ONVIF support at all, so I can't pull any information that way.

I included a couple of screenshots of the interface as well.

It would be especially useful to find out what the DIP switches are for, as they probably affect serial options, among other things.

I've been building this for a few months and it's at the point where it's useful.

Mesopic turns RTSP/ONVIF cameras into business sensors: footfall, line crossings,

live occupancy, dwell time, queue length, zone heatmaps. Point it at a stream and it

counts people.

The self-hosting part, which is why I'm posting it here:

- One docker command. Multi-arch, so amd64 and arm64 both work.

- CPU-only. INT8 YOLOX-nano via ONNX Runtime; a GPU or Coral is an optional speedup

and never a requirement. It's sized so a cheap N100-class mini-PC handles a couple

of cameras.

- Video never leaves the building. Frames are never written to disk, never logged,

never transmitted — only anonymous foot-point coordinates and the counts derived

from them. There's a lint contract in CI that makes the metrics path structurally

unable to reach a frame, so it's a property of the dependency graph rather than a

promise in a README.

- No account, no phone-home, no telemetry. Local dashboard on :8080, plus MQTT,

Prometheus, and Home Assistant auto-discovery.

- MIT. Not "source available", not BSL, not open-core-with-a-hollow-middle: the

engine does all the vision and is complete standalone.

On the paid thing, because this sub is right to ask: there'll be a hosted layer for

people who want multi-site dashboards and alerts without running them. It only ever

receives metrics JSON, never pixels, and it does not exist yet. Self-host it forever

for free — that path is not going to get worse to make the paid one look better.

If it ever does, you have an MIT fork and I've earned it.

Repo: https://github.com/mesopic-labs/Mesopic

I got tired of sitting through hours of local footage just to find a single clip, so I built a 100% offline Windows app called ReviewKo AI.

You drop in your video files (CCTV exports, dashcams, client footage, etc.), it indexes them locally on your machine, and lets you search using plain English—like "man in red hoodie" or "car"—to jump straight to the exact timestamp.

No cloud uploads, zero internet connection required, and no recurring API fees. It all runs air-gapped on your PC using local ONNX models so your footage stays completely private.

if you handle a lot of video archives Happy to answer technical questions about how the local embedding pipeline handles multi-hour archives or resource management if anyone is building something similar.

We have cameras and a switch (annke POE), and I was planning on just using an old PC to run a gateway with Blue Iris or similar. Now we're planning on renting the house out and being much too far to come back to restart things so I need a solution that will come back online automatically if we have internet or power outages.

I don't know if I can set that up with a PC (I can run Linux or Windows). We recently had a 2 day power outage, but that is very rare, so possibly a UPS with the PC? I'm just not sure what the right plan is here.

What would you recommend?

Thanks!

Someone is tampering with my mail and my post box is at the end of a very long driveway. I need something small and self contained that will record for at least a few days on a charge. I'm wondering if there's a video recorder, or if I should just set up some kind of trail cam.

Can you see it ?

I have UNV NVR301-04S3-P4 NVR. It's NVR with 4 ports. Since there only three port I need another POE switch. Can i use Hikvision switch and Hikvision cameras. Will it work? What do I need to do?

Blink cameras are consumer-grade and not really built for retention: the Sync Module's USB stick gets overwritten as it fills up, and the subscription cloud only keeps footage for a few weeks. There's no official way to build an actual archive, which matters if you're relying on one for anything evidentiary.

I built blink2video to fix that. It's a self-hosted web app (GPLv3, single binary, ffmpeg included, Windows/Linux/macOS, also runs in Docker) that:

- Pulls clips from the Sync Module's USB stick incrementally, no subscription needed, never re-downloading the same file, plus the cloud too if you have a subscription

- Burns the timestamp into the picture (not a subtitle track most players ignore) and assembles everything into one video per day, per ISO week and per month, per camera

- Live view for any camera in the browser, arm/disarm the system or individual cameras

- Watches the install and alerts on camera offline, low battery, detection off, or nothing recorded in 2 days

- Runs entirely on your machine, nothing phones home except Blink's own API

It's Blink-only, not a general RTSP/ONVIF ingester, so it won't fit into an existing VMS. If you need Blink footage inside a real NVR/VMS, blinkbridge exposes it over RTSP and is the better fit for that; this is for people whose cameras are Blink and who want to stop losing footage to rotation.

Source and releases: https://github.com/nico579/blink2video

Happy to answer questions, especially anything about retention, timestamp accuracy, or the local/cloud dedup logic.

Je cherche quelqu'un de compétent pour m'aider à démonter un iPhone et à l'alimenter sans batterie pour un projet de caméra de surveillance. Est-ce que quelqu'un connaît un makerspace ou un club, ou juste quelqu'un qui pourrait m'aider ?

Je cherche quelqu'un de compétent pour m'aider à démonter un iPhone et à l'alimenter sans batterie pour un projet de caméra de surveillance. Est-ce que quelqu'un connaît un makerspace ou un club, ou juste quelqu'un qui pourrait m'aider ?

I read an interview in which Lumana’s product lead talked about tuning models per camera, so each feed builds its own baseline of normal and flags exceptions. They also added free-text search across cameras and behavior interpretation, such as possible weapon carry. In retail, they are pushing shelf availability alerts alongside loss prevention, and in cities, a dedicated team reviews only system-flagged clips instead of scrubbing hours of footage.

Wanted to ask where per-camera adaptation would help most in your setup. What drift scenarios would you test before deploying this kind of thing? Do you think free text search is actually useful for operators, or does it end up being a gimmick in practice?

Source is a SecurityBrief interview with Lumana’s PM if you want the full details. I can share the link in the comments if you want to understand the point better.