Smart Object Detection: What is Advanced Motion Detection?
Arlo security cameras can detect people, animals, objects, and vehicles. But how exactly does it work?
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With an Arlo Secure subscription, your Arlo security cameras are enhanced with A.I.-powered notifications for people, packages, vehicles, and animals. This feature helps you know what’s happening at home. How does Advanced Motion Detection actually work? Although it may seem simple, there’s a lot going on behind the scenes to provide Smart Object Detection and Advanced Motion Detection.
Using advanced technology, your Arlo security cameras can distinguish objects and people while filtering out everyday movements like tree branches. This feature ensures you only see what’s important, reducing unwanted alerts. Let’s get technical on detection.
What is Object Detection?
In short, object detection is a feature that enables devices to identify and locate objects in an image or video. Object detection includes a series of local and cloud-based processes to distinguish, for example, the mailman from your neighbor’s dog.
The long answer? Object detection is a computer vision task that uses neural networks to localize and classify objects in digital input images. While image classification only assigns a label to an entire image, object detection identifies and classifies multiple objects within the same image, pinpointing their exact locations. This allows systems to provide detailed information about each object in the scene.
Object detection is used in a wide range of industries, from self-driving cars to, you guessed it, security cameras. An Object Detection model can recognize various objects, such as people, animals, vehicles, and packages, within an input image. It provides detailed information about what is happening at any moment, making it crucial for your home’s security.
What is Advanced Motion Detection?
Advanced Motion Detection, also known as camera-based motion detection, uses Object Detection technology to analyze changes in video frames. When a moving object is detected, the security camera triggers alerts and starts recording. Unlike traditional motion detection, this advanced feature enables the camera to filter out irrelevant objects such as tree branches, natural tree movements, cloud patterns, or lighting changes.
What’s the difference between Advanced Motion Detection and PIR Motion Detection?
While Advanced Motion detection detects changes in video frames, Passive Infrared (PIR) Motion Detection detects changes in heat signatures. Motion detectors like the Arlo All-in-One Sensors trigger an alarm when the infrared technology detects an object warmer than its surroundings.
Arlo security cameras feature both Advanced Motion Detection and PIR Motion Detection, ensuring more accurate alerts and preventing false alarms.
What security cameras are compatible with Smart Object Detection and Advanced Motion Detection?
With an Arlo Secure subscription, all current Arlo security cameras are compatible with Smart Object Detection and camera-based motion detection. This includes the budget-friendly 2nd Gen Essential Security Camera, the flagship Arlo Ultra 2 4K Camera, and even floodlights like the Arlo Pro 3 Floodlight Camera. Be sure to install the right number of cameras and take full advantage of Smart Object Detection. Additionally, an Arlo Secure subscription also offers features such as Smart Activity Zones and 30-day cloud video history.
What type of objects can Arlo security cameras detect?
Arlo security cameras can detect a variety of animals, vehicles, packages, and people. Plus, with Smart Activity Zones, you can customize the camera’s focus area, excluding busy streets or neighboring properties. Here’s a breakdown of what each detection feature can do:
People: Arlo cameras can accurately identify people on your property, ignoring other movements like clouds or tree branches. You can also search your video history for videos containing people, making it easy to monitor who is coming and going.
Vehicles: Arlo’s Vehicle Detection feature identifies cars, trucks, buses, motorbikes, and bicycles around your property. The cameras can detect vehicles up to 100 feet away and moving at speeds up to 20 miles per hour.
Packages: The Package Detection feature alerts you when a package is picked up or dropped off. Arlo cameras can detect packages as small as a shoe box.
Animals: Arlo cameras can detect animals larger than small rodents and differentiate between your pets and wildlife.
How does Object Detection work?
Object detection works through a combination of sophisticated techniques, primarily relying on convolutional neural networks (CNNs). These networks are specifically designed to process and analyze visual data. The process typically involves several key steps:
Preprocessing the original image. The input image is first processed to enhance its quality. Arlo security cameras provide high-quality video, requiring minimum preprocessing.
Using Object Detection algorithms. The preprocessed image is then fed into object detection algorithms. Popular ones include Faster R-CNN, Single Shot Multibox Detector (SSD), and Fast R-CNN. These algorithms scan the image, identify potential objects, and generate bounding boxes around them.
Region-Based Convolutional Neural Networks (R-CNNs). These networks use image segmentation to divide the image into segments and analyze each region for the presence of objects. This approach allows for more accurate object detection.
Single Shot Detectors (SSD). SSDs perform object detection in a single pass through the network. SSDs are often used in applications where speed is crucial.
Post Processing and Filtering. After the objects are detected, the results are further processed to remove any false positives and refine the bounding boxes. This ensures that only the most relevant and accurate detections are presented to the user.
While this process might sound complex, your Arlo security camera performs it in microseconds. The camera’s advanced algorithms quickly analyze the image, ensuring you get real-time alerts and accurate detections.
Is Object Detection Machine Learning?
Yes, Object Detection is a part of Machine Learning. Machine Learning involves training algorithms to recognize patterns and make decisions based on data, imitating the way humans learn.
In the case of Object Detection, models are trained using vast amounts of labeled training data. This process allows the system to learn how to identify and locate different objects within an image. Advanced techniques, such as linked smart objects, help improve the model’s accuracy by recognizing and associating related objects.
Arlo has the advanced features to ensure your peace of mind.
Arlo security solutions leverage A.I. to offer cutting-edge features like Smart Object Detection and Advanced Motion Detection. But this is just the beginning. Arlo security cameras also include state-of-the-art hardware and software features for securing your home and loved ones. With Color Night Vision, high-resolution video, and wide viewing angles, Arlo cameras deliver clear and comprehensive coverage around the clock.