Detecting objects in a complex scene is a challenging task. An image contains many features.Traditional approaches focus on image datasets and have limited accuracy.By applying a deep learning algorithm, the accuracy of object detection can be improved.Object detection involves identifying and locating objects using a bounding box. This provides detailed information about the presence and location of objects.
Object recognition focuses on categorizing objects without the need for precise localization.The Object Detection solution of the software platform provides the ability to detect and classify objects.
It is easy to use. It performs most image-processing tasks automatically.No encoding is required.
Working with online video streams from one or more high-resolution digital surveillance cameras, the Object Detection solution provides real-time object detection and classification, as well as biometric facial identification of multiple people moving in different directions.It determines whether a person or object (e.g. a car) is crossing a line or entering or leaving a pre-defined perimeter area, and includes adjustable motion sensitivity for improved tracking of moving objects.This data can be used by applications to activate alarms or send notifications to groups of people and/or systems using the software.
The camera’s ground plane calibration capability enables Objects Detection to calculate the area and speed of moving objects. Users can then create custom object classes, such as pedestrians, groups of people or vehicles, based on these parameters.This makes it possible to detect when people or objects enter zones or cross predefined boundaries in the wrong direction. This makes Objects Detection suitable for use in traffic safety applications, such as systems that trigger alarms when someone gets too close to railway tracks or when cars are about to make a wrong turn onto a one-way street.
In addition, it is possible to determine the speed of moving objects and to classify them accordingly (for example, to monitor the speed in a restricted area).The Vehicle Detection Solution allows you to detect overweight vehicles approaching overhead obstacles such as bridges, tunnels, and other structures. You can then warn drivers individually.Using video or real-time cameras, this software can detect different types of vehicles.Vehicle detection and subsequent tracking are used in traffic management, car tracking, creating parking sensors, etc.
Vehicles detection solution:
This solution has wide capabilities, accuracy, and versatility of various types of detection, such as:
⇒ Speed
⇒ Vehicle counting
⇒ Vehicle classification
⇒ Detection of stopped vehicles, vehicles in the wrong direction
⇒ Accident detection,
as well as more typical traffic data such as vehicle occupancy, vehicle distance, queues, etc.
This solution can consist of the following types of functionality: video traffic surveillance, traffic flow management, gate and access control, remote site monitoring, and a central control room.
