Object Detectors

To enhance your smartphone's video capabilities with AI-powered detection, check out Motion Detection for Android. This app detects every movement and saves videos automatically to either your phone or cloud server. With its smart detector that only starts recording when motion is detected, the app is both efficient and convenient.

For even more advanced features, consider using Video Surveillance Cloud, a hybrid cloud solution that employs real-time object recognition video analytics on the camera stream source side. With this technology, you can access your surveillance footage remotely from anywhere. The software provides features such as online security monitoring, object detection, motion detection, event-triggered and time-lapse recording, remote viewing, facial recognition, and automated license plate recognition.

Object identification and object recognition are two related but distinct concepts in computer vision. Object identification refers to the process of determining the class or category to which an object belongs. For example, if an image contains a dog, object identification would identify the object as a dog. Object identification can be performed using various techniques, such as feature extraction and classification. Object recognition, on the other hand, refers to the process of detecting and identifying an object in an image or video stream. Object recognition involves identifying the presence, location, and shape of an object in an image or video, and may also involve identifying specific attributes of the object, such as color or texture. In other words, object identification is focused on determining what an object is, while object recognition is focused on detecting and identifying objects within an image or video. Both object identification and object recognition are important components of computer vision, and are often used in applications such as surveillance, autonomous vehicles, and robotics. Object detection is a subset of computer vision that deals with the detection and localization of objects within an image or video. It involves identifying the presence of objects and determining their location in the image. Object detection has a wide range of applications such as surveillance, self-driving cars, robotics, and image and video analysis.The Object Detection software is a free video surveillance software that turns IP cameras and webcams into a powerful video security system. It allows users to recognize objects in real-time, such as birds, cars, persons, dogs, cats, and more, by using AI computer vision. The program also enables automatic face recognition, making it easier to identify individuals in the video feed.One of the benefits of Object Detection software is its ability to upload videos automatically to VideoSurveillance.Cloud when a specific event occurs. This feature allows users to access videos remotely and provides an added layer of security. Users can also capture images from multiple web cameras or IP cameras and view simultaneous videos from all cameras in the main app window.Object Detection software also features highly optimized AI motion detection that allows users to monitor and save video alerts as soon as motion and object detection occur. This feature is particularly useful for businesses or individuals who want to monitor their premises and receive alerts when an object or motion is detected.Another great feature of Object Detection software is that it is not limited to computers. With the Camera Motion Detector app for Android, users can enhance their smartphones capabilities with cutting-edge AI technology. This allows them to monitor their premises even when they are away, giving them peace of mind.Object Detection software is an excellent video surveillance software that provides powerful AI computer vision capabilities to recognize objects in real-time. Its ability to upload videos automatically to VideoSurveillance.Cloud, simultaneous video feeds from multiple cameras, and AI motion detection makes it an excellent tool for businesses or individuals looking to enhance their security measures.

Facial recognition and biometric scanning systems utilize computer vision technology to identify individuals for security purposes. The most common use of facial recognition is securing smartphones, but more advanced applications include using unique physiological features for residential or business security systems. Deep learning algorithms can identify the unique patterns in a persons fingerprints to control access to high-security areas such as nuclear power plants, research labs, and bank vaults.

SmartVision recordings cannot be stolen. A sophisticated encryption technique ensures the confidentiality of personal data and your video. If you turn off the Internet - recording will be carried out on a memory card. After the network is restored, data from the card is automatically copied to the storage servers.