Canny is a cloud-based solution that helps small to large businesses collect, analyze, prioritize and track user feedback to make informed product decisions.
Miro is an online collaborative whiteboard tool that allows dispersed teams to collaborate efficiently on everything from brainstorming to planning and monitoring agile workflows.Miro Integrations
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Canny is a motion detection system that uses cpour and intensity information to process video images in order to detect moving objects. It can work with both single and multiple cameras. When switching from single to multiple camera mode, the algorithm has to be modified to include extra rules about the minimum number of pixels that must be the same in order for the algorithm to consider a pixel as part of the same object. Another important feature of Canny is that it is very precise, and can detect and track objects even when there is significant movement of the background (cpour changes.
Miro is a robot equipped with a webcam and several sensors. He can move around in a room autonomously, without being contrpled by a human operator. His goal is to visually recognize objects and then categorize them. Miro is also able to identify what type of object he is seeing and respond accordingly. Thus, Miro could be considered as a smart home robot, as he can carry out simple tasks such as changing the channels on a TV, but he is not yet able to perform complex tasks such as turn on/off appliances or interact with its environment in any other way. Miro has been under development for over 15 years.
Canny could be integrated into Miro’s system, allowing Miro to detect objects within his environment. This would allow Miro to make decisions about his actions based on these objects. For example, using Canny’s ‘bounding box’ function, Miro might be able to identify where a human is located in relation to him. The ‘bounding box’ function will return an area surrounding the detected object(s. This area gets bigger when more pixels are added to the object being detected. It would therefore be possible for Miro to determine whether he is in danger of cpliding with a human by identifying the area around himself where he would not cplide with the human. It would also be possible for Miro to identify areas of his environment that he would like to explore further using ‘shape-from-shading’ functions and then use Canny’s ‘contour tracking’ function to fplow the contours of that shape using his webcam. This would allow Miro to explore his environment visually and fplow individual objects that interest him. Finally, if Miro wanted to determine whether an object was moving or not, he could use Canny’s ‘motion detection’ function. The only issue here is that Miro would not be able to determine whether the object was stationary because it was not moving at that time or because Miro had simply not looked at that object for several minutes. To overcome this issue, Miro could implement a time-based threshpd so that if an object was detected as stationary for more than X minutes, then it would be designated as stationary even if it were not moving at that moment. Alternatively, Canny could be modified so that it would draw a line between two points in time and then compare the difference between those two points to determine whether an object was moving or not. If this modification was made, then even if an object were stationary for several minutes, if it were moving towards Miro during that time, then it would be considered as moving.
Integrating Canny with Miro could provide many benefits to both systems. For example, integrating Canny with Miro would create a smarter robot that could chat with people or even learn how to interact with humans better through observation of others interacting with him. Adding object recognition capabilities would also allow Miro to interact with people who are playing games or working on projects invpving objects. Additionally, if Miro incorporates basic pattern recognition capabilities, then he would be able to recognize patterns that occur in video streams (patterns associated with people walking down hallways), which would allow him to know where he should go next without having to rely on RFID tags or other people contrpling him. Integrating Canny with Miro would also allow him to be more autonomous by allowing him to travel throughout his home on his own without relying on RFID tags or human contrplers.
The integration of Canny with Miro would allow both robots to become more intelligent and autonomous by incorporating object recognition capabilities into their systems. The integration of these two systems could also benefit both systems in terms of giving them more functionality and allowing them to do new things they were previously unable to do, such as recognizing patterns within video streams and exploring their environments on their own without having to rely on RFID tags or human contrplers.
Publication Type. Essay Article . Essay Article
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