There are a variety of CV algorithms that can power these features, and they’re often arranged in what Katsman calls a “funnel pattern,” where each step down the funnel increases the likelihood of positive detection. These go beyond the basic detection of a moving object and actually classify the object as a way to filter “important” from “unimportant” motion events. Increasingly, CV-based cameras are also including features like person detection and facial recognition as a way to cut down on false alerts. Something very small relative to the field of view is either a small object, like a floating dust mote, and deemed “uninteresting,” or it’s a larger object very far away and also not notable. It’s a fairly effective and user-friendly solution as it allows your camera to focus on locations where movement would most likely indicate a breach-windows and doors, for example-without getting confused by whatever other activity is going on in your home.ĬV can also make quick judgement calls based on the geometric properties of a moving object. This feature lets you mask out parts of the camera’s field of view to tell the camera to ignore activity in those areas, or conversely to mask in specific areas to be monitored, effectively telling the camera to ignore activity everywhere else. One of the more popular is the ability to set motion detection zones. Reducing the sensitivity level could require a moving object to be warmer or closer to the camera to trip it, for example.ĬV offers more options for mitigating false alerts. Camera’s using PIR motion detection usually allow you to adjust the sensitivity level within the companion app, so that more- or less-pronounced motion triggers the sensor. The Netatmo Presence home security camera can determine if the motion it detects is caused by people, animals, or even cars.Ĭamera manufacturers offer a number of ways of reducing the incidence of false alarms, each with varying degrees of success. Receiving an onslaught of notifications on your phone, only to find out your camera’s sensor was tripped not by a burglar but a light snowfall or a pet wandering into its field of view, gets tedious quickly and pushes many users to deactivate their device’s most important feature. Indeed, false motion detection alerts are probably the biggest sore point for home security camera owners.
That can add significantly to the total cost of ownership of the camera. Instead, they’re computed on remote servers in the cloud, where they often can only be unlocked only with a paid subscription. But many of the algorithms that make this possible are too computationally intensive to run locally on the camera. The main advantage of CV motion detection is it allows for greater analysis of the scene, and, as stated earlier, for identification of the object creating the motion through advanced features like person detection or facial recognition (more on these in a moment). The Ring Floodlight Cam, shown at the top of this story, is supremely flexible when it comes to defining motion detection zones.
They are also, by nature of the technology, incapable of detecting motion through glass so they’re not suitable for scenarios such as monitoring your yard with an indoor camera aimed through a window. That matters when you’re talking about forensic evidence. That means you may miss part of the action that triggered the motion alert, such as an intruder’s approach when their face is most visible. At that point, they switch to a high-power recording state for a fixed period of time-to capture a 30-second video clip, for instance-or until motion stops.īut because PIR-based cameras spend the bulk to their time low-power mode, they can take more time to wake up and start recording than CV-based cameras. PIR is also very power efficient, so it’s often used in battery-powered cameras, keeping them in a low-power non-recording state until the PIR sensor detects motion. The Canary Flex home security camera uses a PIR motion sensor to enable it to run on battery power.
0 kommentar(er)
