Virtual Sensors using Deep Learning and AI
Discover the benefits of ALMA's Virtual Sensors for your industry
ALMA's patented technology utilizes Deep Learning and AI, to convert vibration data into an array of virtual sensors, such as positioning, wheel velocity, bearing, driver behavior, predictive maintenance, road conditions, and more. No Hardware is required, we utilize existing IMU sensors, found in every vehicle and smartphone.
INDUSTRIES AND USE CASES
Get more value from your existing sensors, utilizing Deep Learning and AI.
Here are just a few examples:
ALMA Positioning Virtual Sensor
Tier 1 and OEMs can utilize their existing IMU to get accurate positioning even when GPS has a low signal, this can be in a tunnel, Urban Canyon, underground parking lot, or a rural area.
This is also great for "aftermarket" use cases for fleet management systems, mobility, ride-hailing, and more utilizing the phone's IMU, to solve last-mile delivery, manage large fleets efficiently and more.
ALMA "Driver Behavior" Virtual Sensor
ALMA utilizes its algorithms to translate the vehicle's vibrations into insights into driver behavior, we can sense possible reckless driving behaviors, and more
ALMA "Road Conditions" Virtual Sensor
Utilizing the existing IMU can bring a lot of valuable data on road conditions. This has implications on the driving mode, and pending road type, and can be utilized by 3rd parties to address bad road conditions.
A different approach for accurate positioning, and other virtual sensors, anywhere anytime.
Using the DIDO ALMA SDK, you can utilize existing smartphones and/or car sensors to get access to an array of virtual sensors, such as location, speed, behavior, and more based on our patented AI algorithms