Our interaction with devices in the home, at the workplace and in public is changing. In the past we used device interfaces like a keyboard, mouse, or touch screen. Now the trend is changing, with devices being developed to interact with humans via a human interface including voice, motion and vision. These human-machine interfaces are computationally intensive and use large, power-hungry processors, which greatly reduces battery life. To mitigate the power consumption of these larger processors, smaller, ‘wake-up’ cores are used to detect multiple sensor interface inputs and identify if a human interaction is about to begin, at which time it wakes up the bigger computation core.
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Always On and Data Fusion
The smaller wake up cores can also perform sensor fusion tasks by receiving input from multiple sensors and processing them. These processors require high computation capability to process the sensor input, while consuming minimal area and power for battery-operated devices.
Always-On Function |
Application |
Synopsys Processor Solutions |
Speech Detection |
Home automation assistant |
|
Voice Recognition |
Smart home, sensors |
|
Motion Detection |
User interface |
|
Gesture recognition |
User interface |
|
Face detection |
Smart home, door bells |
EM9D/11D Article: Flexible Processing for IoT End Node Devices |
Context aware recognition |
Mobile devices |