Traffic Management

Wireless Car Spot Sensors

Battery operated car parking sensors include Geomagnetic and radar sensor detection to provide details via a gateway of the presence of a vehicle on a designated space.

Car Parking Space Camera recognition system

Positioning an array of single or double cameras on your parking site , allows us to map your parking site into actual spaces.

Car Counting System

Utilising single or dual camera modules with edge processing ,we can measure movement of objects across an invisible datum.

Wireless Car Spot Sensors

Battery operated car parking sensors include Geomagnetic and radar sensor detection to provide details via a gateway of the presence of a vehicle on a designated space. The units are low profile ( 30mm high ) and are typically fixed with studs to the car park surface. The batteries are serviceable form the underside of the device via a secure compartment.  Battery life is typically circa 5 years depending on the activity above the sensor.  Multiple sensors communicate to a gateway which intern pass data to a cloud platform.

We can build a custom dashboard for you similar to the below integrating 2D and 3D maps , sensor status and other local information

Wireless Car Spot Sensor Products 

LoRaWAN Parking Sensor

Milesight UG65 – Semi-Industrial LoRaWAN® Gateway

Car Parking Space Camera AI system

Positioning an array of single or double cameras on your parking site , allows us to map your parking site into actual spaces. Each Camera can view up to 100 spots through 105 Degree view  , and these can be monitored utilising our cloud platform from Ubidots. Night and day operation yields a 99% accuracy in carparking spot utilisation. Typically the camera needs to be mounted at a height exceeding 3M and this could be on an adjacent building or a dedicated pole. Data is locally processed at the camera head meaning small payloads of data can be send via 4G/5G to the cloud.

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Typical Use Cases:

Car Counting System

Utilising single or dual camera modules with edge processing ,we can measure movement of objects across an invisible datum. This could be monitoring vehicles using a road or entering a car park , or people entering a building. The AI engine can determine vehicle type and via an open API we can report this data in realtime or via dashboards and reports . As processing of objects is done at the edge, there is no storing of images as realtime object recognition engines are matching shapes to the outline in the field of view.

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Typical Use Cases: