Multilayer Visual Objects are a representation of information acquired from multiple sources, from Cameras to IoT Devices or AI Systems, producing different layers of information about the same subject.
All information are than combined, creating a single object to be used into your Dashboard Viewer.
Multilayer Visual Objects types are Flat, Augmented, Machine Vision or a Widget.
LAYER 1
Captured from a camera
Captured from a camera on field, the image is locally transmitted to the ICLab Gateway for save it in cache. Following processing rules that are configurable, the gateway will send the image for the ICLab AI for processing.
The gateway is capable of process Full HD, 4k, 8k or above, where each frame have it own signature.
LAYER 2
Status determined by
Machine Vision
Using Machine Vision, our AI System will determine the status of the street, open or closed, depending of the presence of a train coming in any direction.
The AI System will create and submit a push message with the result of the analysis for each frame received, using the frame signature to date the exact time of an event.
New Multilayer
Visual Object
A new Multilayer Visual Object is created with 2 layers, the live image in background and the formatted information from the AI system in the front layer.
Multilayer Objects are capable of use till 32 different layers, resulting in one single object.
The new Multilayer Visual Object will replace the original image in your Dashboard, allowing different Teams to work from Operational to Management Information about your Operation.
Multilayer Visual Object with 3 Layers
LAYER 3
Machine Vision output #2, after the original image being processed by A.I.
LAYER 2
Machine Vision output #1, after the original image being processed by A.I.
LAYER 1
Flat Object, original image received com a camera
Flat Object
Flat Objects have no treatment and are showed as captured by a camera. It’s our single layer object, where actions based in motion can be configured or a recording for future reference, research, auditory or accountability.
Augmented Object
Augmented Objects receive new layers based in information installed from IoT Devices spread into your network. This information is captured by the ICLab Gateway, which will send for processing together with the image captured, creating a new Multilayer Visual Object that will replace the original flat object in the Dashboard.
Augmented Objects help to create context and multiples IoT Devices can be used to add intelligence into the Augmented Scenario.
Machine Vision Object
Machine Vision Objects are flat objects processed by Artificial Intelligence and resulting in a Machine Vision Assessment which will add new layers of information about the analysed scene. The new information can be formatted and added as a new layer into a Multilayer Visual Object, generate reports or saved for be used in Widgets.
The new Multilayer Visual Object will replace the flat object into our Dashboard.