- Pet size and movement similar to small person
- Camera angle capturing pet at deceptive scale
- AI model limitations with certain pet types
Problem Description
Your Arlo Essential Indoor camera AI detection labels your pets as persons, sending you person detection alerts when only your dog or cat is moving. This floods you with false alerts and makes the person detection feature unreliable for actual security purposes.
Symptoms
- Pet movements trigger person detection alerts
- Dog or cat labeled as person in recordings
- Constant person alerts when home with pets
- AI detection cannot tell pets from people
- Person alerts but only pet visible in clip
- Issue worse with larger pets
Recognize these? Here's what usually causes it.
Common Causes
- Pet size and movement similar to small person
- Camera angle capturing pet at deceptive scale
- AI model limitations with certain pet types
- Motion sensitivity too high amplifying detection
- Activity zones including pet travel paths
- Arlo Secure plan affecting AI features
Most fixes happen in the first 3 steps.
Do not disable person detection entirely due to pet false positives. Instead, use the techniques above to improve accuracy while maintaining security alerting for actual person detection.
Step-by-Step Solution
Adjust Camera Angle and Height
If your camera is mounted low or angled down significantly, pets appear larger and more human-like in scale. Mount the camera higher and tilt down slightly. This shows pets from above where their four-legged shape is more distinct from upright human forms.
Create Activity Zones
In the Arlo app, go to camera settings and find Activity Zones. Draw zones that include doorways and areas humans use but exclude pet beds, pet doors, and common pet travel paths. If motion is detected only in pet zones, no alert is sent.
Enable Animal Detection If Available
Arlo Secure subscription includes AI detection for different object types. Check your detection settings for options like Detect Animals or a pet filter. Enabling animal detection helps the AI distinguish pets from people more accurately.
Reduce Motion Sensitivity
High motion sensitivity picks up small movements that trigger AI analysis more frequently. Lower the sensitivity so only larger, more definitive motion triggers detection. This gives the AI better quality motion to analyze rather than every small pet movement.
Add Scale References in View
AI detection works better when it has size references. Ensure your camera view includes furniture, doors, or other objects with known human scale. This helps AI determine that your pet is smaller than a person would be in the same position.
Quick Solutions
Still having issues? This is usually the deeper cause below.
If the sensor still misses events after repositioning, check whether a scheduled 'home' or 'away' mode is overriding the sensitivity setting silently.
If you have Arlo Secure, check for smart detection settings that allow filtering by detection type. You can set notifications only for person detection while still recording all motion.
Live view problems that start suddenly usually trace back to an upload speed drop — the camera itself is fine, the bandwidth path to the cloud isn't.
- Pet size and movement similar to small person
- Camera angle capturing pet at deceptive scale
- AI model limitations with certain pet types
- Motion sensitivity too high amplifying detection
- Activity zones including pet travel paths
Before you go — try one of these (they fix most cases).
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Official Manufacturer Manual
If you need the complete manufacturer documentation for advanced setup, wiring diagrams, or detailed specifications, you can download the official manual below. The manual includes full technical instructions directly from the manufacturer and may help if your issue requires deeper troubleshooting.
Download the Official Arlo Essential Indoor Camera ManualSource: arlo.com
Need More Help? Arlo Support
Note: The contact information below connects you directly to Arlo's official customer support team, not Trunetto. They can help with warranty claims, device replacements, and advanced technical issues.
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