Smart Street Lights that can see and hear the world around them.
Thanks to StreetNet’s low power design it is capable of proving smart object detection & tracking while still meeting the limited power requirements of the Zhaga Book18 standard. StreetNet sensors don’t need additional batteries or external power sources (e.g. solar), greatly reducing ongoing maintenance costs while still allowing the sensor to operate 24/7.
Zhaga Socket Compatible
Track more than traffic and pedestrians
Capture a wealth of information previously unavailable in traditional smart cities sensors. Traditional traffic sensors using pressure, motion sensors, radar or lidar are generally great at detecting moving objects however they have a poor understanding of the static environment around them. Using embedded Computer Vision, StreetNet enables a broader range of sensing outputs suited to the varied street lighting applications including roadways, parks, parking lots, and school, University & corporate campuses. Simplify your IoT stack by investing in one platform that can be across your varied fleet of lighting assets.
From traffic & cycleway monitoring to smart parking lots & curb side parking our sensor can provide a wealth of data streamed directly to the StreetNet dashboard & app or accessed via open API.
Helping create cleaner and more efficient spaces
Smarter waste management
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|
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.