You may have noticed that automatic self-cleaning litter boxes on the market are increasingly moving toward two different directions.

One type focuses on affordability. These models are usually designed with simple functions, sometimes without an app, and their main purpose is to replace the manual scooping work.

The other type comes with built-in cameras and is usually connected to an app, allowing cat parents to watch live footage and review recorded moments of their cats.

At first glance, the biggest difference between these two types of litter boxes may seem to be just one or more cameras. But behind this difference are actually two completely different product philosophies.

A litter box without a camera can help families reduce household chores and eliminate the daily frustration of scooping litter. Many budget-friendly automatic litter boxes also choose not to include an app in order to keep costs as low as possible. For families who simply want to stop manually scooping every day, this can already solve a major part of their needs.

However, if you want more advanced care and monitoring for your cat, simply adding more sensors to a basic litter box is not enough. Visual recognition is the missing piece that completes the puzzle.

A Camera Is the Essential Hardware Behind Visual AI

Let’s take the CATLINK Scoop Robot Pro as an example and explore some of the AI-powered visual features that CATLINK has already developed.

Bathroom Comparison

* This screenshot is from real user posts and has been partially blurred with permission.

Even without a cloud storage subscription, users can still experience the bathroom comparison feature.

CATLINK’s AI cloud-based algorithm can intelligently capture key moments of a cat’s activity. For example, if a cat’s entire litter box visit lasts three minutes, CATLINK Scoop Robot Pro can intelligently capture the most important moments: a snapshot before the visit when waste is present, and another after the cleaning cycle is complete.

This means cat parents don’t need to spend time reviewing the entire video. With just a quick look at the key moments, they can easily understand what happened and confirm that the litter box has been cleaned properly.

Cat Face Recognition

This technology is also used in CATLINK’s smart feeders. Before cat face recognition was introduced into litter box algorithms, many cat parents could only identify which cat used the litter box by comparing body weight. With cat face recognition technology, identifying cats becomes more accurate, even for cats with similar weights.

Cat Litter Level Detection

* This screenshot is from the settings page of the CATLINK Scoop Robot Pro.

CATLINK Scoop Robot Pro also supports an automatic cat litter refiller. When the litter is evenly distributed and falls below the monitoring line, the app will send a notification to remind cat parents that the litter level is running low.

In many ways, a camera works like human eyes. Without eyes, humans cannot receive visual information from the world, and without that information, the brain cannot process and understand what is happening. For a smart litter box, the “brain” is the app and the AI algorithms running through the cloud.

A camera is not simply a tool to show what is happening right now. It provides the visual information that allows CATLINK’s development team to continuously improve algorithms and help cat parents understand things that were previously impossible to observe.

For example: "Why does my cat take more than 80 seconds to urinate?", or "Could there be something unusual happening?"

A camera can record these moments comprehensively, while AI algorithms can filter out human activity interference and focus only on what the cat is doing inside the litter box.

How Can Visual AI Algorithms Help Cat Parents?

For cat parents, one of the biggest challenges of raising cats is that cats cannot speak, and many changes in their health appear through small details in daily life.

However, without continuous recording and analysis, many unusual patterns can easily go unnoticed.

By collecting visual information through cameras and combining it with AI image algorithms, CATLINK helps cat parents move from simply “seeing the result” to truly understanding the process and changes behind their cat’s behavior.

CATLINK app’s cat health monitoring feature has now been upgraded to Health 2.0.

1. From “Knowing Your Cat Used the Litter Box” to “Understanding Their Bathroom Behavior”

Automatic litter boxes usually determine usage through weight changes. But with visual algorithms, CATLINK can provide deeper insights, such as:

Which cat used the litter box? What was the cat doing after entering? What changed before and after the bathroom visit?

Here is a real-life example. More than 90% of the CATLINK team members are cat parents themselves, and we genuinely enjoy sharing conversations about living with cats. Once, we noticed an Asian veterinarian sharing a case about a domestic cat that developed intestinal issues after eating tofu litter and drinking water. The cat eventually needed surgery. This story inspired our development team: what if a camera could provide an early warning?

When a cat eats tofu litter, there may not be an obvious waste clump left behind in the litter box. But if cat parents could review footage or snapshots from before and after the litter box visit, they might be able to notice that the cat had eaten litter.

Even dogs eating cat litter — which is actually quite common in multi-pet households — could potentially be detected through visual information.

2. AI Will Continue to Evolve, and Cameras Create the Foundation for Future Features

*This screenshot shows simulated data.

Without visual information, algorithms can only make decisions based on limited data; With visual information, the CATLINK team can continuously improve algorithms and provide cat parents with insights that were previously unavailable.

As AI technology continues to develop, visual capabilities will help cat parents understand their cats on a deeper level, allowing smart pet care to move from “automatic cleaning” toward “proactive understanding.”

Taking CATLINK Scoop Robot Pro as an example, when AI algorithms improve, new recognition features can be continuously delivered through software updates.

This means that as time goes on, not only does the product continue to improve, but the overall user experience and after-sales value can continue to grow as well.