Apical Resident Technology Improves Existing Smart Home Motion Sensors

It is well-known that the traditional security sensors are only capable of telling you if a motion is getting detected, and maybe go to the extent of determining if the mover is a person, branches swaying in the wind or an animal.

One would prefer having video analytics or wearables to have access to more data on multiple activities performed as well as to enhance richer integration with home automation systems. Now, what exactly can video analytics really do? Well, it can help its users track objects, recognize faces, count people, and even recognize ascertain emotions. Wearables on the other hand (as well as the tags for multiple objects), can easily enable activity tracking and personal recognition.

These solutions usually consumes extensive amounts of data and always require cloud-based processing/solutions. At the same time, these solutions can also be quite expensive and have other related security/privacy issues.

Apical Resident Technology (ART) developed by London-based Apical Ltd., is a new sensor technology that is capable of enabling the functionality/operability of wearables and advanced video analytics. This sensor technology does not ask for high bandwidth requirements and also, does not pose any kind of threat with respect to one’s privacy.

Speaking about the Apical Resident Technology, it provides video analytics without the actual video, and mainly looks at the pixel disruption in light streams in order to decipher surrounding activity.

The company Apical has always been a legacy in video processing, having its technology integrated in multiple smartphones and surveillance cameras. How does the ART technology work? The ART technology basically employs multiple image sensors like it is found in cameras and only extracts the related/required data, not in the form of images, thereby, reducing bandwidth requirements and user’s privacy concerns.

The data recorded by this technology is capable of presenting intrinsic information such as the relationships between two people, and categorize it as either intimate or distant. It can also good at determining if a person is threatening or in medical distress based on his/her body language.

The four main parameters that the ART technology focusses and provides information on are 1) trajectory, 2) pose, 3) gesture, and 4) identity. With the data gathered on these four parameters, the technology can read a person’s and their behavior, learn from their actions and accordingly, generate events on the basis of that data.

Let’s consider an example to understand this phenomenon a little better – In case, an unknown person takes an unusual path on the front lawn, the system might end up turning on the garden sprinklers automatically.

ART has achieved this capability entirely through Apical’s breakthrough machine intelligence technology called Spirit. Spirit is technology that is embedded into one or more networked sensors in a household. It is a chip-level tech that converts raw image related sensor data into a stream of virtual object data. This data is later translated into a format readable by the machine. The data is collected or gathered in real-time. This kind of intelligence can be integrated with internet-of-things devices, which was never really possible earlier.

The report made Mordor Intelligence contains detailed information on multiple sensor markets and analyses of multiple leading players in the market. The report also contains information on the potential of the wearable sensors global market holds during the forecasted period (2014-2019).

SaiKiran Kadam is an Analyst working with Mordor Intelligence, a market research consulting firm which specializes in Market Research Consulting, Market Research Reports, Market Sizing Reports, Industry Research Reports.