Leveraging the natural properties of materials and neuron spikes to create simple, inexpensive sensors for home and AI situational awareness
SpikeSense Labs is re-purposing brain-inspired architectures for sustainable and ubiquitous sensing.
Desiging components and systems using the analog behaviors of materials with spiking computation to enable simple, effective sensing for a wide set of applications.
Most of the signals that we use to understand our environment and make decisions are small packets or continous streams of low level energy, such as vibration, light, temperature, etc. Proper design of these systems can measure and report these signals while also using the signal itself as a power source to complete these processes. Under many situations, where continuous updates are not necessary these sensors can provide long-term battery free operation to enhance situational awareness of users or to inform AI systems making decisions.
For many sensor applications, signals change slowly and opportunities for energy harvesting can be scarce. Using a spiking architecture such as integrate and fire, can slowly build up the necessary energy while also providing a measure of the incoming signal. This approach supports analog configurations where computational materials and other more sustainable elements can be used in the design.
Spiking architectures, such as event sensors allow for a single camera to provide a large set of functionality, packing multiple functions into a single compact unit. For instance, event cameras can be configured to provide data for multi-band images, polarization, object tracking, positional information into one unit. When application needs don't require high speed acquistion of all data at once, these types of configurations can provide low power, inexpensive means to multifunctional use that is inexpensive and low data loads.
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