How a late-night drive to my mother-in-law’s house inspired CareAlert
“there must be some way to make sure she’s safe without resorting to frantic phone calls and late night drives”
On the drive home that night my relief quickly turned to curiosity. Since she was elderly and lived alone, there must be some way to make sure she’s safe without resorting to frantic phone calls and late night drives.
My first, and in hindsight obviously misguided, solution was to install cameras in her house, allowing us to look in whenever we wanted to make sure she was OK. This was met with understandable resistance and quickly dismissed as a viable option (as anyone who has read 1984 would agree). So back to the drawing board I went.
I soon realized that I should not be focusing on simply monitoring a person, but monitoring their environment and how they interact with and affect it. By taking this approach, I realized I could design a device that would ensure the safety and security of Lili’s mother without compromising her privacy.
This initial device, however, had it’s limitations. The power circuit was designed so the battery would last a year, but after testing it only lasted one month. Moreover, the thresholds had to be set on the sensors, which greatly reduced the ability of the device to adapt to different
At this point I decided to reimagine the entire architecture of the device. Artificial intelligence and deep learning had been advancing at a rapid pace, and I wanted to incorporate those technologies. CareAlert had to make sense of the information it was collecting, not simply provide the end-user with data points. It had to learn patterns, predict outcomes and provide actionable data to the end-user.After discussing the idea amongst a few engineer friends with a wealth of experience in hardware and software design, I decided to put a world-class team together and embark on developing the most advanced, intelligent, software-driven environmental monitoring device available.
To create a “living baseline” it’s sensors collect an initial week’s worth of data about the user’s environment and sends it to the cloud for analysis via our proprietary algorithms. Once the device has learned the initial baseline, it can monitor an environment and relay any anomalies back to the end-user via a
And recalling my wife’s inability to reach her mother by cellphone or landline, we integrated a speaker that the end-user can speak through via the CareAlert mobile app. This feature can also be used to leave a timed message reminding your loved one to take their medication, for example.