CAMPAIGN FOR REDUCTION OF CARBON EMISSIONS AND MARINE POLLUTION
More recycling, less carbon
We are thrilled to announce our latest campaign that aims to create a positive impact on the environment.
For customers who purchase $100,000 or more worth of RTLS products from us, we will collect 1 ton of plastic waste from the Marmara Sea region. Our goal is to prevent 20 million metric tonnes of microplastic pollution per tonne from entering the sea and to prevent the release of 32 tonnes of CO2 into the atmosphere, as released into nature every time 1 tonne of waste is collected using tradional methods.
For every RTLS project order over $100,000, 1 tonne of plastic waste will be collected from the sea by our autonomous sea cleaning vehicles.
Per tonne of plastic waste to be collected;
Preventing 20 million micro-plastic particles from entering the sea
The aim is to prevent 32 tonnes of CO₂ from being released into nature.
Be the first to announce to the world, a sea cleaning technology that is 6 times more effective than existing sea cleaning methods
Tracking of people or objects over wifi or bluetooth signals captured via Access Points that can provide MQTT data can be achieved with 1m location accuracy.
Our software solutions, which are integrated with Cisco Meraki solutions that can provide the healthiest MQTT data today, provide you with the infrastructure to manage all RTLS (Real-time locating systems) infrastructures you will need in the future on a single platform.
RTLS solutions developed by IWROBOTX with Cisco business partnership are widely used in various fields such as retail, hotel, hospital, logistics, oil industry.
BENEFICIAL FEATURES
Features you can benefit from with RTLS inventory tracking
Bluetooth
Wi-Fi
24/7 Tracking
Reporting
Alarm
Counting
Indoor5.0 - Features of RTLS Asset Tracking System
Real Time Object tracking on Dashboard
Transferring sensor data and status information of objects/assets to the Dashboard
Creating and tracking alarms for asset movements
Remote control of product health status thanks to the Sensor data in the tag placed in the assets