Artificial intelligence-powered security cameras are increasingly common across U.S. homes, but users continue to encounter misidentifications and quirky errors in AI-generated alerts, highlighting the limits of current technology.

Wyze Labs, which introduced AI descriptive alerts on its devices in early 2025, reports that its system is generally accurate and improves over time with user feedback. Dave Crosby, Wyze co-founder and chief marketing officer, emphasized that with billions of unique scenarios in real-world settings, perfection remains challenging. Wyze offers its AI alert feature as part of a $19.99 monthly subscription and serves more than 13 million users. Nationwide, more than 75 million homes have security cameras, according to SafeHome.org, a product review company. The organization’s recent survey found that 28% of camera users have AI-enabled person and package detection, and 39% expressed interest in facial recognition features despite ongoing privacy concerns.

Ring, owned by Amazon, also provides AI alerts and has over 100 million active devices globally, though it did not disclose the number of users who subscribe to AI-based features. A Ring spokesperson acknowledged occasional inaccuracies but said customer feedback helps refine the AI model. Users reportedly appreciate notifications confirming package deliveries or the safe arrival of family members. Digital transformation consultant Tauf Chowdhury in Long Island, New York, shared his experience after receiving an alert that a “dark-colored bear is walking on the paved area.” The warning turned out to be a rotund raccoon, a misidentification that ultimately led him to decline Ring’s paid AI subscription after a free trial.

Similar ambiguities have surfaced with Blink cameras, also owned by Amazon. Vanessa Soderstrom of Naples, Florida, recalled moments when her Blink device misinterpreted reflections or her movements. In one instance, the camera identified her niece’s reflection in a sliding glass door as an intruder. On another occasion, the system labeled Soderstrom herself as a “brown bear” when she was sweeping the lanai wearing brown clothing. Once, an alert stated that “a person is jumping from the roof,” which was actually Soderstrom quickly standing and reaching for a hose or broom. She suggested that distortion from the lanai’s screen may have affected the AI’s accuracy.

In a different test, Blink user William Dickey of Cushing, Maine, experimented with AI detection using his collection of horror masks. When he approached the camera dressed as Pennywise the clown, the system reported neutrally that “a person is standing on the porch and looking around,” correctly identifying presence but showing no concern over the unsettling appearance.

These accounts illustrate both the advances and current limitations of AI in home security systems. While AI-driven alerts can offer benefits in monitoring and convenience, imperfect image interpretation can generate confusing or humorous false positives. Companies continue to improve their models through customer engagement, but experts stress that users should remain aware of the technology’s evolving nature and occasional errors.