Metrolla facilitates automation with machine vision. We add value to the product development lifecycle by enabling businesses to access sensor data remotely. Our product has built-in features to allow engineers to simplify their implementations and machine learning capabilities to enable faster development through continuous integrations and continuous deployment.
Metrolla enables automation, data collection and machine learning from machine vision.
Businesses using LiDAR or Light Detection And Ranging, often over-complicate their network and require access to the data and metrics from the sensors. LiDAR provides a rather large data stream and makes it costly to consistently stream the data back. Furthermore, meaningful data is often lost in the massive amounts of data that is not saved or classified, causing delays in development and missed opportunities.
The Metrolla Autocomm, our edge device is a plug-and-play IoT computer that comes complete with machine learning classification tools to enable automated actions from LiDAR. Its communication layer allows developers to push new machine learning models to the device and allows the device to ask for clarification from other deployed Autocomm’s. Furthering this the Autocomm can record and stream data either automated or with a manual request from the server. As a result, complex decision-making and automation can be simplified to a single box rather than a complex network of decision-makers, and only the data that matters can be collected all while not interfering with critical systems that need the LiDAR sent to them for processing.
In summary, companies using our product and services can:
