To ensure that the care receiver retains the maximum benefit of its services, the CareBot needs to follow the care receiver around the home. If the CareBot cannot currently locate the care receiver, it should look around on its own. GeckoTrak is the software that makes this intelligence a reality.
- Allows the robot to follow the care receiver
- Finds the care receiver if their location is not currently known
- Employs sensor fusion
GeckoTrak uses recently developed GeckoSystems software that merges and interprets data from three different sensor systems to achieve sensor fusion such that it can automatically follow a designated person anywhere in their home. Our latest MSR addition enables our CareBot to timely remind Grandma, or others, to take medications, of favorite TV shows coming on and other routine reminders by always being close by and within easy hearing distance. The low power requirements of this system allows our CareBot to maintain a constant monitoring state for ten hours or more between chargings.
GeckoTrak uses advanced sensor fusion to merge machine vision, passive infrared, and sonar to identify and/or locate the person of interest such that GeckoTrak can inform GeckoNav automatically as to the whereabouts of the designated person for continuous proximate monitoring. This third leg of our three legged milk stool of GeckoNav, GeckoChat, and now GeckoTrak completes the fundamental functional benefits needed to cost effectively provide utility to families for remote care taking of their members and other loved ones.
GeckoTrak has the ability, in conjunction with GeckoNav to automatically follow Grandma (or another designated person) around in their daily routine about their home. In addition to allowing routine web cam video surveillance of the care receiver, GeckoTrak enables CareBots to timely (using GeckoScheduler) remind Grandma, or other care receivers, to take medications, of favorite TV shows coming on and other timely, routine reminders by always being close by and within easy hearing distance of GeckoChat.
GeckoSystems uses advanced sensor fusion to merge machine vision, passive IR, and sonar to identify and/or locate the person of interest in GeckoTrak. Sensor fusion is a scientifically homogenized situational awareness system resulting from the implicit synergies in aggregated, subsumptive detection and range finding systems. These deliberately blended detection systems enable heightened, if not extraordinary, environmental perception sufficient to indicate common sense responses.
GeckoTrak software merges and interprets data from three different, layered sensor systems to automatically follow a designated person anywhere in their home. A scanning passive infrared (PIR) sensor detects a person's body heat and reports its orientation to GeckoTrak for further processing. Highly optimized machine vision algorithms are employed to learn, remember, and identify the care receiver's daily attire. A sonar range finder is instrumental in maintaining a safe, predetermined distance between the CareBot and the care receiver. GeckoNav provides the artificial intelligence to automatically guide the CareBot to remain proximate while avoiding obstacles automatically to where GeckoTrak determines the care receiver to be.
This brings a new level of situational awareness to their mobile robots with actionable intelligence. Situational awareness is the environmental understanding resulting from blended sensor systems and the common sense implications of those combined perceptions.