Object Detector

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 Detection Software is a powerful tool used in video surveillance to detect and recognize objects, such as people, cars, animals, and other things. It is based on computer vision, which is a field of artificial intelligence that allows computers to interpret and understand visual data from the world around us. Object Detection software uses machine learning algorithms to analyze video feeds and identify objects in real-time, and it has become an essential tool in the security industry.The Object Detection software is designed to work with IP cameras, which are digital cameras that can connect to the internet or a local network. With this software, IP cameras can be transformed into a powerful video surveillance system that can detect and recognize objects, and allow remote monitoring of home or business premises. The software can capture images from multiple webcams or IP cameras and display simultaneous videos from all cameras in the main application window.One of the key features of Object Detection software is its highly optimized motion detection system, which can detect motion and capture video alerts as soon as it is detected. This feature is critical in security surveillance, as it allows users to monitor their premises and respond immediately to any suspicious activity.Another important feature of Object Detection software is facial recognition, which allows the software to recognize faces and match them to a database of known faces. This feature is particularly useful in identifying people who are not authorized to access certain areas, such as employees or visitors.The Video Surveillance Cloud is a unique cloud solution that works in conjunction with Object Detection software. By employing real-time object recognition video analytics on the camera stream source side, the cloud server and local application can be installed on a phone, personal computer, or cloud camera. The Video Surveillance Cloud offers advanced features for online security monitoring, including event-triggered and time-lapse recording, remote viewing, and automated license plate recognition.In addition to its use in traditional security surveillance, Object Detection software is also available as an app for Android smartphones. The Camera Motion Detector app uses cutting-edge mobile technology to enhance the capabilities of smartphones, making them powerful video surveillance tools that can detect and recognize objects.In conclusion, Object Detection software is a powerful video surveillance tool that allows for real-time detection and recognition of objects. Its highly optimized motion detection feature and facial recognition capabilities make it a critical tool in security surveillance, while the Video Surveillance Cloud offers advanced features for online security monitoring. With its ability to turn IP cameras into powerful surveillance systems, Object Detection software is a valuable asset for businesses and homeowners looking to enhance their security measures.

Edge detection is a technique that identifies the outer edge of an object or landscape to better understand the image. Pattern detection recognizes repeated shapes, colors, and other visual indicators in images. Image classification groups images into different categories, while feature matching matches similarities in images to aid in classification. While simple computer vision applications may use only one of these techniques, more advanced applications, such as self-driving cars, rely on multiple techniques to achieve their goals.

We use a special module for reading the video stream to queue the received frames for faster processing. From the queue, the frame is redirected and processed by the face detector and feature extraction tool, the output is a feature vector, which is later stored in the database. Integrated similarity measurement algorithms are used to compare newly acquired feature vectors with those stored in the database to determine if a person exists in the database or not.