Decoding efficient asset management for roads and railroads with AI
Due to the wide spatial distribution of roads and railroads infrastructure, many transport assets are exposed and vulnerable to natural hazards, increasing the costs for transport agencies and operators.
Our deep neural network model can help operators predict vegetation-related risks along distributed lines. But that’s not it! Our products can also offer complete visibility and help mitigate hazards in the event of natural disasters like floods and earthquakes.
A DNN model to optimize asset O&M for transport industries
We provide in-depth monitoring of roads and railroads with the help of geospatial imagery. On the ground, our products – AiDash web dashboard and mobile app – can be used by field agents to make the right decisions and be proactive about mitigating potential risks.
By automating decision-making, we can help transport operators cut down O&M costs by huge margins.
The power of data
Transport industries need real-time data to predict equipment failures, assess high-risk areas and identify other risks to their networks. AiDash uses high-resolution multispectral and SAR satellite imagery coupled with groundbreaking AI models to monitor and survey vegetation hazards, RoW encroachments and weather-related damage remotely. We also fuse existing enterprise data with ground truth for the most accurate results.
The data collected is used to make informed decisions and prevent any risks along our networks. Get complete digital visibility of distributed assets on a control panel which provides details and health for planning all O&M activities.
We work on digital trust and safety, which means your data remains completely safe, secure and confidential with us.