Content understanding on battery-operated devices at the very edge
AI IS MOVING TO THE EDGE
First IoT application processor
GreenWaves Technologies is a fabless semiconductor start-up designing disruptive ultra-low power embedded solutions for image, sound and vibration AI processing in sensing devices.
GreenWaves was founded in late 2014 with the mission of revolutionizing the market for intelligent sensors and devices with ultra-low energy and cost-efficient solutions. GreenWaves’ GAP8 is the industry’s first ultra-low-power processor enabling battery-operated artificial intelligence (AI) in Internet of Things (IoT) applications.
GAP8 can be used for
- Detecting occupied and free space using low-power visible or infra-red cameras in offices or other public spaces
- Ultra low cost, power and latency on-device speaker independent keyword spotting
- Vibration analysis and fault detection on a battery for years
Many other applications
AI APPLICATION PROCESSOR GAP8: LATEST NEWS
Our events
RISC-V Europe Roadshow
RISC-V Roadshow in Europe, Sep 16-26, 2019 September 16 – September 26, 2019, GreenWaves Technologies will participate in RISC-V roadshow in Europe, to discuss RISC-V architecture, commercial and open-source implementations, software and [...]
Embedded Technologies 2019
Embedded Technologies 2019 GreenWaves Technologies to Showcase Facial Recognition Demo on Ultra-Low Power GAP8 Processor at Embedded Technologies 2019 GAP8 enables intelligent devices with facial recognition [...]
Recent post
GAPPoc : A family of GAP8-centric Proof Of Concept boards for edge AI
GAPPoc : A family of GAP8-centric Proof Of Concept boards for edge AI Our GAP8 application processor chip is great at analyzing and understanding data from IoT sensors, from the simplest to the [...]
Latest press release
GreenWaves Technologies Named a 2019 “Cool Vendor” in AI Semiconductors by Gartner
GreenWaves Technologies Named a 2019 “Cool Vendor” in AI Semiconductors by Gartner Vendors listed in the Cool Vendor Report are Interesting, New and Innovative [...]
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