The world’s first software-based positioning technology, the AI Virtual Position Sensor, is the newest offering from Elliptic Labs’ AI Virtual Smart Sensor Platform™.
Image Credits: Elliptic Labs
Elliptic Labs, a leading provider of AI Virtual Smart Sensors™ and a global leader in AI software, has signed a Proof-of-Concept agreement with a Top-3 laptop/PC manufacturer.
The recently unveiled AI Virtual Position Sensor locates a laptop’s external display in proximity to it automatically. Multiple work environments can be managed more efficiently, increasing convenience and efficiency for employees.
A laptop equipped with the software-only AI Virtual Position Sensor, which enables the laptop to smoothly recognize, locate, and configure an external display, will be valuable to businesses and employees managing numerous offices and desk configurations.
This quick-fix improves usability and cuts down setup time, giving workers more mobility and convenience while increasing productivity.
Our latest product, AI Virtual Position Sensor, is the must-have in today’s hybrid work environment. Previously, employees who frequently moved between various work locations struggled with different display setups, adding complexity and wasted time to their day.
Laila Danielsen, Chief Executive Officer, Elliptic Labs
Danielsen added, “The AI Virtual Position Sensor removes the annoyance of manually dealing with display settings each time they relocate. The AI Virtual Position Sensor automatically knows the position of the laptop in relation to the external display, allowing it to configure behavior between the two accordingly. This ability makes workers and enterprises more dynamic and productive.”
The AI Virtual Position Sensor is a software-only solution; therefore, no extra hardware is required for it to function. Instead, it uses the laptop’s built-in speaker and microphone to perceive its surroundings and then analyses those surroundings utilizing virtual, exclusive machine-learning capabilities, ultrasonic, sensor fusion, and patented algorithms.