PROOF OF CONCEPT
The ID TAG TECHNOLOGY GROUP AS has a globally patented sender/receiver technology utilizing
built-in antennas in handheld camera devices, enabling detection of tags in real time.
Patents have been secured in USA, China, Hong Kong, Russia, Japan and Norway, with patents pending in EPO and South Korea.
IDENTIFYING PEOPLE
Together with SINTEF we developed a crude lab model in order to verify the technology, as these two videos demonstrate. In this video you will see 3 people and their tags become activated as they are entering the viewframe of a camera device (iPad).
ACTIVATING TAGS
In this example we see how tags can be activated with a brand URL, in this case Erik's jacket. You can also access Erik's social media profile page on Linkedin, as his phone works as a personal tag.
IDENTIFYING THINGS IN THE DARK
In this example we see how everyday objects can be identified in full darkness. The technology does not require a clear line-of-sight in order for tags to be identified. Which also means under water or under severe weather conditions.
PS! No audio
THE PATENT
The patent consists of multiple parts, and describes in general a device, a method and a system for the following purpose:
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The patent describes an idea about a device being able to tag digital images with information about objects located in that image, in real-time. The identification of the objects in the image happens by having the device transmit a signal and then receiving a response from the object carrying a sensor with information about that object, e.g using Blootooth, WiFi, RFID communication protocols.
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A significant aspect of the invention is to know whether or not the object is within the image viewframe. To accomplish this, multiple antennas in the device must be utilised, e.g. mobile antennas (round beam antennas, not directional antennas)
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The patent uses RFID as a starting point to describe the idea and device, but is not limited to RFID only - it can work for virtually all types of sensors. The information retrieved from the objects in the image can in real-time be added to the optical image as a separate information layer, which can be activated as clickable links to a website with additional information about the object. Similar to tagged clothing on Instagram, however this is done manually.