How Our Software Works

An IoT device is mounted permanently on the bridge or other asset. This contains accelerometers to collect, unique signature data specific to each individual bridge. No cable runs are necessary – solar powered, self-contained and wireless.

• The sensor data forms complex time series, capturing variations over time.
• The raw data is stored in the Cloud, permanently.

A self-learning Deep Neural Network is produced by our algorithm. It learns patterns, detects anomalies, and predicts potential risks based on signature, historical data.

The DNN output to a simple UI, that is configured to capture the meaning of the output.

If the light is RED or YELLOW, there’s a potential issue that may be present that requires attention.

Remember that this is a very high-level overview, so the actual implementation may involve additional components and complexities. If you need further details or have specific requirements, feel free to ask!

Please register your interest here to receive a copy of our Newsletter and White Paper that looks at how automated bridge monitoring can save your organization heartache and money.