False alert filter effectiveness

Reviews note that Local AI and the dual radar plus infrared sensing do a notably good job of ignoring snowflakes, bugs, swaying branches, and passing shadows, and with activity zones available to exclude busy streets, owners report far fewer nuisance notifications compared with typical motion only cameras.

On device AI helps distinguish real people and vehicles from harmless motion like insects, wind, or small animals, greatly reducing nuisance alerts while still warning owners about true security events, and lets owners optionally enable animal alerts if they want to see everything.

Reviews say the Arlo Pro 5’s smart detection and filters do a good job of focusing alerts on people, animals, vehicles, and packages rather than random motion, and this tester likewise reports that notifications are accurate with few obvious nuisance triggers.

Testing suggests the Nest Cam delivers consistently accurate alerts that rarely misclassify non-human motion, giving owners confidence that notifications represent real activity rather than random noise.

Earlier feedback reported that PIR based motion sensing cuts down random alerts compared with simple movement detection, though siren and notification rules still need careful tuning, and this review further shows that the camera’s size based detection can successfully filter out larger passing vehicles or small pets to reduce nuisance notifications.

While some tests still report occasional misclassification without careful setup, reviewers explain that defining activity zones can effectively block trees or passing street traffic, reducing many nuisance alerts once tuned, and new feedback tools in the app let owners flag clips as not human so the local AI improves over time.

Reviews say that activity zones and sensitivity controls help the S340 cut down on false alerts, but this tester still sees frequent mislabeling of a cat as a person, indicating that some pet-related false positives persist even after tuning.

Reviewers say that while the S330 can cut down on unwanted alerts with activity zones and AI filtering, running the system at high sensitivity can lead to reflections or moving light patches being misclassified as people, so some tuning is needed to minimize false positives.

Feedback suggests that default motion sensitivity on the C325WB leads to frequent false positives, especially confusing pets for people, and this tester had to lower sensitivity and tweak AI settings to achieve more acceptable alert accuracy.