Use Cases

As Birds.ai we have implemented multiple Edge AI solutions in a variety of industries over the past years.

On this page you can find some examples of the projects.

The conventional methods of maintaining these fields are slow, cost and labour-intensive, inefficient and not detailed enough when trying to track down defects that significantly impact the energy output.
We analyse drone images of your solar plants using our bird’s-eye View, our in-house developed platform, to provide you with a detailed report of the results.
The managers of solar assets who would like to know the functionality status of their plants without the need to dedicate too much resources.
Support for cost-benefit analysis and smart maintenance plans.
Cost efficiency in comparison to manual inspection.
Tracking the state of your solar plant over time.

Manual inspection is expensive and inconsistent and can lead to huge downtime. It is also difficult to analyze what went wrong in hindsight if no digital trace is available.
We automate production line monitoring by using artificial intelligence to analyse your throughput.
The managers of manufacturing lines who would like to know the anomalies in production quantities or quality.
This helps prevent downtime and sustain high production numbers with minimal adjustments in your existing process.

The difference in waste composition, ranging from plastics, composites to organic fractions (wood, cardboard), is challenging because it varies greatly per region and season. Manual work is inconsistent and lacks speed.
We analyse images from waste conveyor belts using Birds.ai view. Our in-house developed platform provides a detailed report of certain types of waste to estimate total volumes that could be separated, reused or recycled.
Waste management organisations that want to know the potential of waste valorisation, which is typically hard to estimate by error-prone sorting process done by humans.
Reduction of manual sorting activities.
Improving the quality of output: obtaining raw materials from waste.
Valuable insights on litter/ material ratios per conveyor belt to make informed decisions and move towards a 100% recycling goal.

Large quantities can go to waste if strawberries arrive on shelves too early or too late in their maturity stage.
A solution is to enable harvesting the right produce at the right time and to sort it efficiently based on specific criteria.
Managers or farmers who have to keep track of a vast amount of produce and cannot predict the precise time of maturity of the product.
This prevents improper selection that can result in a loss of full batches.

Sustainable ideas for

Other industries?