Google Applies For A Patent For Home Security System
After such heavy investments in intelligent hardware solutions for the security of your whereabouts, employees at Google have applied for a patent with the title “Security Scoring in a Smart-Sensored home”. This is followed by Google acquiring Nest (provides automated solution for your household) for $3.2 billion and also the acquisition of Dropcam (easy-to-use and configure Wi-Fi webcams and trackers, and cloud-based storage) for a reported $555 million.
Yes, they are huge investments and in order to reinforce effective returns, the aforementioned patent is now going through as an application. The patent basically aims to combine technologies from works with Nest and Dropcam in order to build a more holistic home security system. System which not only automates, controls and facilitates things you care about at your place (the Nest expertise) but also keeping it secure with the users being constantly updated even being a 1000 mile away from their home or business space (the Dropcam promise).
The patent specifies the software features and methodologies in order to make those features work. It talks about generating ‘Security Scores’ based on the processed home data received with help of multiple networked devices. This data consists of 3 – types of data; capability data, opportunity data and environmental data.
Capability data indicates the capability of anyone of network-connected smart device, like battery life, processing power etc. Opportunity data comprises of enabled security, sensing features. Environmental data consists of data indicative of any sort of behavioral characteristic of the home-environment. For example (from the text of the patent):
Exposure of environmental objects with respect to public view (e.g., an expensive item, such as a large television, being visible through a window 182 of a structure 150 of the environment may increase the target of that environment and the likelihood of an attempted robbery, while a crime-deterring item, such as a guard dog or a label identifying the security features of the environment being made apparent to a would be thief may decrease the target of that environment and the likelihood of an attempted robbery)
The patent discusses many other relevant features like: Smart Alarm Clock, Smart Doorknob, a Smart Doorbell, Smart Entry Detectors, Smart Wall Switches and Smart Wall plugs. Smart Alarm clock is programmed to wake people up on time based on how long they take before finally leaving. The Smart Doorbell could recognize person approaching the door and communicate the visual. After the visual is communicated, a registered mobile device may then unlock the door. Smart Entry Detectors attached to window panes, doors that may be broken will be able to alert the user.
Moreover, the patent describes Smart Wall Switches that could monitor the lighting conditions around the house and also the Smart Wall Plugs that control airflow through fans and air conditioning as well.
People might say that a few of things were done by Nest alone to, but the major plus of this patent is the learning algorithms it employs. The patent makes use a lot of inference as to predict user living patterns and adjust the conditions accordingly. For example,
The user may input information about the destination and its location, such as its address. Artificial intelligence will be used to determine how long it typically takes the occupant to wake up and get ready to leave the home. This information will be considered in combination with traffic on the route to the occupant’s specified destination and weather conditions to determine what time to wake the occupant so that the occupant will arrive at the destination at the specified time.
We do know a lot of automated off-the-shelf smart home solutions are available in the market. Products like August and Kwikset, but what they lack in is the artificially intelligent this patent claims to have.