Hello Growers Network!
We are Terry and Salma, the creators of Kindbot.io
We built Kindbot to help us monitor/control our home grow because we aren’t always around to watch the plants.
We began with a microcontroller and environmental sensors to create the first consumer level environmental control unit. Adding a camera and an application, we can view the grow or control appliances (lights, irrigation) while away.
Using AI, we developed models to parse important visual cues from the image feed.
This means that Kindbot can respond dynamically to signs of stress. For example, Kindbot can turn on the irrigation pump when the plants look droopy or send a notification when Kindbot detects signs of deficiencies or pests.
Kindbot brings home automation to home grow by integrating with off-the-shelf smart plugs to control your appliances. Kindbot records your environmental statistics and maintains a collection of photos for playing back a time lapse of your grow.
Kindbot maintains a stable, optimal growing environment with PID control.
Kindbot can perform color correction for easier inspection of your greens under lighting which isn’t full spectrum.
We wanted to create the swiss army knife of cannabis home grow by building a small, but powerful device, agnostic to particular sensor/controller platforms.
We believe the underlying computer vision technology will make important signals more accessible and empower the grower with more information.
We believe there is a role for this technology in commercial platforms and we are continuously developing and pushing Kindbot to do more.
We’d love to hear more about the challenges other growers face. Perhaps Kindbot can handle some small part to make things easier and more efficient. We’re interested in putting out a few Kindbots for user testing, message us about the Kindbot Collectif. 
Thanks for your time,
Team Kindbot
P.S. If you’re interested in the underlying technology, check out our Hackster.io post!
