What is Wi-Fi sensing?
Detecting motion, presence and activity patterns through Wi-Fi signals (existing or specially generated) by measuring the effect that living objects distort the waves emitted from transmitters to receivers.
nami modules collect, process and analyse Channel State Information (CSI) data 30 times (and more) per second to sense activity in the environment.
Detecting motion, presence and activity patterns through Wi-Fi signals (existing or specially generated) by measuring the effect that living objects distort the waves emitted from transmitters to receivers.
nami modules collect, process and analyse Channel State Information (CSI) data 30 times (and more) per second to sense activity in the environment.
What is Wi-Fi sensing?
Detecting motion, presence and activity patterns through Wi-Fi signals (existing or specially generated) by measuring the effect that living objects distort the waves emitted from transmitters to receivers.
nami modules collect, process and analyse Channel State Information (CSI) data 30 times (and more) per second to sense activity in the environment.
Detecting motion, presence and activity patterns through Wi-Fi signals (existing or specially generated) by measuring the effect that living objects distort the waves emitted from transmitters to receivers.
nami modules collect, process and analyse Channel State Information (CSI) data 30 times (and more) per second to sense activity in the environment.
Motion detection
Pinpoint accuracy with existing Wi-Fi devices and performance-optimized nami hardware able to distinguish humans from pets. Our motion detection engine operates in non-line-of-sight environment, with the ability to go through walls, to achieve full-home coverage.
Pinpoint accuracy with existing Wi-Fi devices and performance-optimized nami hardware able to distinguish humans from pets. Our motion detection engine operates in non-line-of-sight environment, with the ability to go through walls, to achieve full-home coverage.
Motion detection
Pinpoint accuracy with existing Wi-Fi devices and performance-optimized nami hardware able to distinguish humans from pets. Our motion detection engine operates in non-line-of-sight environment, with the ability to go through walls, to achieve full-home coverage.
Pinpoint accuracy with existing Wi-Fi devices and performance-optimized nami hardware able to distinguish humans from pets. Our motion detection engine operates in non-line-of-sight environment, with the ability to go through walls, to achieve full-home coverage.
Presence sensing
Through a complicated and patented process, nami devices stores the radio frequency environment in a room when it’s empty using an optimized antenna array and then compares it with real-time information based on micro-motion activity analysis (like breathing) to determine whether there’s anyone actually in the room.
Through a complicated and patented process, nami devices stores the radio frequency environment in a room when it’s empty using an optimized antenna array and then compares it with real-time information based on micro-motion activity analysis (like breathing) to determine whether there’s anyone actually in the room.
Presence sensing
Through a complicated and patented process, nami devices stores the radio frequency environment in a room when it’s empty using an optimized antenna array and then compares it with real-time information based on micro-motion activity analysis (like breathing) to determine whether there’s anyone actually in the room.
Through a complicated and patented process, nami devices stores the radio frequency environment in a room when it’s empty using an optimized antenna array and then compares it with real-time information based on micro-motion activity analysis (like breathing) to determine whether there’s anyone actually in the room.
Fall detection
We’re able to quickly and reliably detect potential life-threatening situations (like falls, heart attacks, an inability to get back up) with our on-device processing using dual-core MCUs able to sample the environment 1,500 times per second.
We’re able to quickly and reliably detect potential life-threatening situations (like falls, heart attacks, an inability to get back up) with our on-device processing using dual-core MCUs able to sample the environment 1,500 times per second.
Fall detection
We’re able to quickly and reliably detect potential life-threatening situations (like falls, heart attacks, an inability to get back up) with our on-device processing using dual-core MCUs able to sample the environment 1,500 times per second.
We’re able to quickly and reliably detect potential life-threatening situations (like falls, heart attacks, an inability to get back up) with our on-device processing using dual-core MCUs able to sample the environment 1,500 times per second.
