Enabling Endpoint AI
We build AI-enabled low power sensor devices and cloud-based analytics tools to help monitor & improve the environment around us.
Open Platform. Easy to Integrate.
Embedded AI hardware & sensors built around an open platform.
At EdgeMachines we develop cutting edge end-to-end IoT & edge computing systems for the modern world using open tools, protocols and standards. Our hardware and software platform allows us to deploy low-power devices in the real-world without the need for expensive, high-bandwidth infrastructure. Using our AI models and FPGA & ASIC Accelerators we can create advanced IoT systems that gather complex data from the real world. From harsh industrial environments to remote national parks find our how our AIoT Platform can monitor your world.
We focus on developing products & projects that use open APIs, putting data ownership in the hands of our clients, reducing installation & processing costs, increasing ease of integration and reducing lock-in risks.
Advanced cameras combined with broad-spectrum microphones, onboard AI acceleration, and calibrated environmental sensors make the EdgeMachines' IoT platform uniquely capable.
Optional depth vision
Embedded AI Acceleration
Exceptionally Power Efficient
Lower is better
* up to 3.5W when using spatial AI
Detect Impulse Sounds
Sound sensing for a holistic world view
Beyond simply monitoring noise levels in decibels, sound sensing uses our embedded AI hardware to continually process & classify sounds on the device. Because the device does all the processing, no audio data is ever recorded or transmitted off the device.
Conservation & Protection
Classify environmental sounds to detect traffic hooning cars chainsaws gun shots crashes barking dogs yelling sirens construction fighting wildlife
|1:22PM||Sudden Crash||Possible car accident|
|6:35PM||Construction Noise||Compliance breach|
|11:20PM||Hooning Vehicles||Notify Local Authorities|
|01:14AM||Screaming||Notify local authorities|
Spatial AI. Model Distance.
When every moment counts, AI-powered depth perception gives important context
Real-time identification of hazards in the workplace and home settings can be performed on device. Stero Vision allows our sensors to understand depth within a scene.
Privacy built in
We are now entering the age of edge computing, with devices becoming more intelligent and users become more privacy conscious, edge computing allows us to deploy cloud-processing-free sensor solutions. Performing computation & inference on the device at the edge, means devices require less. Our sensors are design to operate over low bandwidth, low power communication networks (LP-WANs) and are faster to deploy.