The Consumer Electronics Show (CES) 2025 was an inspiring showcase of innovation and emerging trends, highlighting how technology continues to redefine the way we live, work, and interact with our environments.
For Aqusense, CES was more than just a stage—it was an opportunity to demonstrate our groundbreaking Wi-Fi sensing solutions and to engage with a forward-thinking community of innovators, customers, and partners. Our patented technology, including Human Presence Detection (HPD over Wi-Fi™), Human Motion Sensing (HMS over Wi-Fi™), and Wi-Fi Environmental Awareness (WEA™), drew significant attention for its ability to transform Wi-Fi networks into powerful sensing platforms.
During live demos at CES for both HPD and HMS over Wi-Fi solutions, attendees were captivated by the simplicity and versatility of our technology while also highlighting the accuracy, sensitivity, and smooth functionality of the algorithm in detecting motion and presence in dynamic environments.
Watch the video of the demo recorded during CES 2025 on January 8th, 2025 at the
Caesars Palace in Las Vegas:
Ready to learn more about how Aqusense is shaping the future? Contact us at info@aqusense.com to explore our solutions and join us on this journey toward smarter, more connected environments.
———————————————————————————————————
Aqusense Human Presence Detection (HPD over Wi-Fi™) and Human Motion Sensing (HMS over Wi-Fi™) demo summary:
Initial Detection:
Five individuals enter the room; the algorithm detects their presence and transitions smoothly between states; near presence and no presence.
High confidence in detection is showcased, with a “near motion presence” reading at 99%.
Partial Departure:
Three individuals leave, and two remain. The system adjusts accurately to represent the change.
Detection radius is approximately 20 feet, ensuring comprehensive motion tracking.
Full Departure:
Remaining individuals leave the room.
The algorithm detects their departure, switching from “near motion presence” to “no presence” with confidence and accuracy.
Motion detection extends to a neighboring room and through walls, demonstrating the system’s sensitivity.
Re-entry:
Two participants re-enter and simulate real-world scenarios (e.g., sitting, conversing, watching TV, standing up, moving closer to the screen).
The algorithm transitions back to “near motion presence” and maintains this state during various activities.
Demo Results:
Sensor Versatility & Accuracy:
Detection is omnidirectional and works through walls, tracking movements in adjacent spaces.
High confidence is consistently maintained throughout varying scenarios, showcasing reliability and smooth transitions.