Your next camera interface
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OwlboxOwlbox is a new kind of network video recorder (NVR) built to be entirely AI-native. Starting from the installation you will interact with your agent of choice to get answers from your cameras. No new interface, no checkboxes, no control panels. Turn hours of footage into a video worth watching and sharing. Retrieve natively edited videos from the API including timelapses, vertical videos and compilations. Use your agent to create custom alerts or interfaces, if you need one. You’ll get rich access to real time structured data from your video. Answer your specific business intelligence questions and get your specific visualizations. For years, our cameras have recorded more than we could ever watch. NVR software locked that data behind complex dashboards and specific use cases and models. Owlbox opens this all up. It runs on a variety of cloud and on-premise configurations but we’ll let your agent figure that out too. It just works once you…
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Cats and pedestrians

You

Can you make video of some cats? I'd like to see 10 cats in a 10 second video.

Your agent

Ten cat sightings, one second each, cropped for a closer look.

ten cats
You

Very nice. Using 60 days back worth of data can you make a histogram showing when cats are most likely to appear by hour?

Your agent

Cats appear most often overnight in Davao local time (UTC+8): - 3–4 AM: 9.3% of recorded clips - 10–11 PM: 8.4% - 1–2 AM: 6.5%

Cat Histogram
Cat Histogram
You

When is pedestrian traffic heaviest?

Your agent

People are most visible 4–7 PM, peaking at 5–6 PM, in Davao local time (UTC+8). Hour Average people visible 4–5 PM 4.4 5–6 PM 6.2 6–7 PM 4.7 7–8 PM 3.4 8–9 PM 2.9

You

That makes sense. I would expect activity is lowest in the 'wee hours'?

Your agent

Yes—1–5 AM is the quietest stretch in Davao local time. The minimum is 1–2 AM: a person appears in only 4.9% of sampled frames, averaging 0.05 people visible, compared with 6.2 at the 5–6 PM peak. Human activity starts picking up around 5 AM. Cats, meanwhile, peak around 3 AM.

People eating

You

I'm looking for some scenes of people eating... detections should include tables, chairs, food, people... can you find three likely frames and pull them? Don't pull two that are within 30 minutes of each other... in other words find me three time-separated candidates

Your agent

Here are three candidates, all at least 30 minutes apart. Times are local.

September 23, 7:53 PM — strongest match: a group visibly eating around a table with plates, bowls, and utensils.
September 23, 7:53 PM — strongest match: a group visibly eating around a table with plates, bowls, and utensils.
October 30, 5:44 PM
October 30, 5:44 PM
September 22, 7:53 PM
September 22, 7:53 PM

A day on the cabin road

You

All the cars from yesterday between 11 AM and 3 PM as a 30-second vertical video.

Your agent

Here is the result with 31 unique vehicles counted.

Vehicles between 11 AM and 3 PM

A week in the pasture

You

Show me all the cows from this week as a 20-second vertical video.

Your agent

Here's the result of all cows as a 20-second vertical video.

A week in the pasture

Yesterday, in fifteen seconds

You

Create a 15 second timelapse video of sunset yesterday.

Your agent

Here's the result.

Yesterday, in fifteen seconds

Daily vehicle highlights

You

Show me some vehicles from yesterday on the cabin road.

Your agent

Here's the result of all vehicles on the cabin camera.

Daily vehicle highlights

An early-morning visitor

You

Create a 20-second reel tracking the animal seen between 4 AM and 5 AM on August 23.

Your agent

Here's the result of animal as a 20-second vertical video.

An early-morning visitor