DETECTION IN THE CLOUD
Hosted in the cloud, the AVUTEC video content analysis modules run a variety of recognition and detection routines in the cloud. Whether it concerns ANPR, people detection, people counting or object detection, CortexCloud makes detection and recognition cost-effective. The cloud service connects directly with an IP camera system without the need of a local server and starts recogising. Subscriptions are upload based making monthly costs transparant.
CortexCloud: RTSP streams or image upload
Due to the evolution of video content analysis, the time of estimations has passed. By using detection in the cloud, it is now possible to monitor traffic, people and objects on either a permanent or temporary basis. These accurate analyses can improve facilities, but they can also offer valuable input for security and marketing strategies.
CortexCloud offers AVUTEC’s computer vision platform CortexFramework in the cloud. It comes with a variety of pre-trained computer vision solutions, such as people counting, but it is also possible to build a personalized application. Since CortexCloud uses existing IP camera systems, this service is accessible and affordable for every situation.
The optional online dashboard provides a real-time overview of the active detection in the cloud, making it easier to act accordingly. It shows graphics and statistical reports to give a clear insight in all detection events and recognition performance. The dashboard is customizable to suit all needs, and since it is offered in a browser, it can be viewed on smartphones, tablets and laptops.
All the acquired detection data can be exported to MS Excel or PDF to provide information for an evaluation or to plan future marketing strategies.
THE BENEFITS OF CORTEXCLOUD
CortexFramework accepts input from all IP camera’s, existing camera systems are used to provide detection in the cloud
CortexCloud doesn’t require the investment in local servers, this makes this service more flexible and cost-effective
The optional online dashboard is customizable and shows all current detection in real-time
CortexCloud offers all the advantages of the AVUTEC’s computer vision platform CortexFramework
CortexCloud can be used to collect traffic data through ANPR, to count people at an event or shopping center, or to detect people at secured areas
The use of CortexCloud is flexible, the detection in the cloud is subscription-based
ANPR in the cloud
Automatic Number Plate Recognition (ANPR) has many purposes. It can be used to monitor traffic movements or collect traffic flow data, it can be used to count passing vehicles, but it can also facilitate VIP parking at events. By automatically granting access to certain number plates with the use of ANPR, organizers or special guests have the most convenient parking spaces at an event.
CortexCloud provides ANPR in the cloud for both permanent and temporary situations. There is no need to invest in new cameras, this service enhances traffic cameras and camera surveillance by adding ANPR.
People counting at events
At festivals, fairs, events and city centers or parks, people counting gives insight in the current number of visitors and whether the present facilities are sufficient. Reliable video content analysis at strategic areas, such as an entrance area, provides valuable information that can be used to evaluate the success of an event and form the foundation for a possible next edition.
The detection in the cloud is based on extensive deep learning models that provide reliable data. By offering this solution in the cloud and by accepting input from existing IP camera systems, CortexCloud a cost-effective solution for any event.
Increase security with the use of people detection
Detection in the cloud also offers a people detection solution that can be used as a security measurement at for instance building sites or secured industrial areas. Vandalism or theft can easily be prevented, since the solution can send a message to a security control center or security staff as soon as a person is detected at the site after business hours.