Dog activity based on accelerometer
Budget: $5,000 – $10,000 USD
Looking for an algorithm engineer that for the development of dog activity based on 3 axis accelerometer.
Our product - see https://trackimoplus.com/products-mini. is installed on the dog collar.
We send to our cloud server 3 axis samples with GPS info.
Sample rate (for now) are 1 sec for acc and 1 minute for GPS.
We want to generate reports where we average the dog activity every hour day and night.
For now, we look only for 4 metrics: Rest, Low activity, Med activity, High activity.
We are looking for a proven experience in pets/dogs behavior based on 3 axis accelerometer or equivalent.
The accelerometer we have today in the Hardware is mCube MC3416.
Our server runs on AWS.
Our priority is to get python code that will do the calculations.
We believe (based on competitive products) that it can be based on mathematical calculation. Meaning no need for Machine Learning algorithms.
Our product - see https://trackimoplus.com/products-mini. is installed on the dog collar.
We send to our cloud server 3 axis samples with GPS info.
Sample rate (for now) are 1 sec for acc and 1 minute for GPS.
We want to generate reports where we average the dog activity every hour day and night.
For now, we look only for 4 metrics: Rest, Low activity, Med activity, High activity.
We are looking for a proven experience in pets/dogs behavior based on 3 axis accelerometer or equivalent.
The accelerometer we have today in the Hardware is mCube MC3416.
Our server runs on AWS.
Our priority is to get python code that will do the calculations.
We believe (based on competitive products) that it can be based on mathematical calculation. Meaning no need for Machine Learning algorithms.