Build a Raspberry Pi cat nap tracker at home

Cats can spend much of the day asleep, but their routine is rarely as simple as one long rest. A cat may doze on the sofa in the morning, move to a sunny windowsill after lunch, and settle into a longer sleep overnight. A small Raspberry Pi system can turn those habits into useful daily records without disturbing the animal.

The project works by combining a camera or motion sensor with a simple time log. The Pi records when your cat enters a favourite resting area, how long the area remains occupied, and when movement suggests the nap has ended. It does not need to identify every stretch or twitch to provide a helpful picture.

This setup suits an indoor cat in Sydney, Melbourne, Brisbane, or another Australian city where pets may spend hot afternoons inside. It can also reveal how temperature, household activity, and daylight affect rest. A cat that sleeps in a cool laundry during a Perth heatwave may show a very different pattern from one that prefers a sunny room in Hobart.

The aim is observation rather than surveillance. Use a quiet device, avoid bright indicator lights, and keep cables out of reach. The resulting data can help you recognise your cat’s normal rhythm, while sudden changes can be discussed with a vet rather than diagnosed by a gadget.

Choose the right Raspberry Pi hardware

A Raspberry Pi Zero 2 W is capable of a basic motion-logging project and uses little power. A Raspberry Pi 4 or 5 gives you more headroom if you want video processing, a web dashboard, or several monitoring zones. For most homes, the Zero 2 W paired with a Raspberry Pi Camera Module is a practical starting point.

You will also need a microSD card, a reliable power supply, and a case or mount. Australian retailers such as Core Electronics and Jaycar commonly stock Raspberry Pi accessories, while local delivery is useful when you need a replacement cable quickly. Select a power adapter suitable for Australian 230-volt outlets and avoid placing the Pi in a hot, enclosed cabinet.

A passive infrared sensor can supplement the camera by detecting movement, but it may miss a cat that settles down quietly. A camera pointed at a bed or blanket gives better context. If you use infrared night vision, check that the model does not produce a visible glow or clicking filter noise that could bother your pet.

Set up a comfortable monitoring zone

Begin with one predictable sleeping location rather than trying to cover the whole house. A cat bed, heated mat, window perch, or quiet corner makes it easier to define the start and end of a nap. Mount the camera above or beside the area, keeping the lens clear of whisker-level contact and avoiding a position that could be knocked over.

Place the Pi somewhere ventilated and inaccessible to chewing. Secure the cable along a wall or behind furniture, and leave enough slack that a curious cat cannot pull the camera down. During Australian summer, especially in inland areas or western Sydney, check that direct sun does not heat the case or wash out the image.

Record a short test during daylight and at night. Make sure the sleeping area is visible, the camera can distinguish the cat from a blanket, and household members are not unnecessarily captured. A privacy mask or cropped image region can keep the system focused only on the bed.

Install the software and create a simple log

Raspberry Pi OS Lite is sufficient when the device will run headlessly. After installation, enable the camera interface if required by your module, connect the Pi to Wi-Fi, and update the operating system. A small Python program can read motion events, save timestamps, and write daily totals to a CSV file.

For a camera-based approach, use a low frame rate rather than continuous high-resolution video. The program can capture a frame every few seconds, compare it with the previous image, and mark the area as occupied when enough pixels change. A PIR sensor can wake the script and reduce processing when the room is quiet.

Define a nap as continuous occupancy for a set period, such as five minutes. End the nap only after the cat has been absent for another five or ten minutes. This prevents a brief head movement or a trip to the water bowl from splitting one rest into several false records.

Improve accuracy with local conditions in mind

A blanket moving under an air conditioner can look like activity, while a cat curled into a dark ball may be missed. Test the system with different bedding, lighting, and camera angles. You can improve results by examining a small region of interest instead of analysing the entire image.

Temperature data can add useful context. A USB sensor or inexpensive digital thermometer can show whether longer naps coincide with a warm room. In Brisbane humidity, Melbourne’s winter heating, or Adelaide’s dry summer heat, the surrounding conditions may explain a change in where your cat chooses to rest.

Keep the analysis modest unless you have a strong reason to add machine learning. A lightweight occupancy detector is easier to maintain and less likely to store unnecessary footage. General sleep-tracking concepts can provide background for interpreting rest patterns, but a household Pi should remain focused on your cat’s actual behaviour; this sleep-tracking reference is one example of broader sleep data context.

Store the records safely

A daily CSV might contain the date, first nap, last nap, total resting time, and number of sessions. You can use Python, SQLite, or a small local dashboard to display trends. Store timestamps in local Australian time so daylight-saving changes in states such as New South Wales, Victoria, and South Australia do not create confusing gaps.

Avoid uploading images to a public service unless you have a clear privacy reason and understand the settings. Keeping event data on the Pi reduces exposure and saves bandwidth. Schedule a weekly backup to another computer or a USB drive, since an SD card can eventually fail.

If you publish technical notes about the project, keep credentials, local network details, and personal images out of the post. A blog may need its own maintenance checks as well; practical crawling notes can be relevant when checking whether pages and linked resources remain discoverable.

Read patterns without overinterpreting them

After two or three weeks, look for broad changes rather than treating every short nap as meaningful. Your cat may sleep longer on a hot day, shift rooms when visitors arrive, or abandon a bed after you move a piece of furniture. A graph showing rest by hour can reveal stable preferences that are easy to miss in daily life.

Compare the log with eating, play, toileting, and unusual household events. A gradual change in sleep, especially alongside reduced appetite, hiding, weight loss, stiffness, or altered grooming, deserves veterinary attention. The Pi can document when the change began, but it cannot determine its cause.

Keep the project quiet and dependable

Use low-noise equipment and avoid lights that flash through the night. Check the mount, cable, storage space, and system clock each month. If the cat ignores the monitored bed, move the camera rather than trying to force a new sleeping habit.

A dependable tracker is usually simpler than a feature-heavy one. Motion events, local timestamps, room temperature, and a readable weekly chart are enough to understand a cat’s napping schedule. With careful placement and safe wiring, a Raspberry Pi becomes a discreet household observer that supports responsible pet care.