Technology
Overview
The sensor uses thermal-sensor fusion in order to classify the foot traffic in your location.
This thermal-imaging technology is paired with machine-learning algorithms that optimize the sensor for retail conditions.
![](https://docs.getdor.com/~gitbook/image?url=https%3A%2F%2F1413068960-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FBUBQ4lRyWurZQuyU6Ndu%252Fuploads%252FK46XrVqo47xljSSFE21t%252FScreen%2520Shot%25202022-11-04%2520at%25209.29.31%2520AM.png%3Falt%3Dmedia%26token%3D1a24e801-d48f-4540-8201-d9d423c19c8f&width=768&dpr=4&quality=100&sign=386fe077&sv=1)
![](https://docs.getdor.com/~gitbook/image?url=https%3A%2F%2F1413068960-files.gitbook.io%2F%7E%2Ffiles%2Fv0%2Fb%2Fgitbook-x-prod.appspot.com%2Fo%2Fspaces%252FBUBQ4lRyWurZQuyU6Ndu%252Fuploads%252FIG2MMf1tX2uNhveT72Jk%252FScreen%2520Shot%25202022-11-04%2520at%25209.29.36%2520AM.png%3Falt%3Dmedia%26token%3D03a73f94-da4b-481b-9c06-aba9fca283a9&width=768&dpr=4&quality=100&sign=90b8b398&sv=1)
We train our algorithms in a vast array of different operating conditions so that accuracy is consistent across your deployments.
Classification of the number of people, direction of travel, and ignoring other items like shopping carts is all done on the sensor in real time.
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