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The main challenge was teaching the new system to recognize different types of insects and detect activity in various conditions. Instead of gathering real-world data, which would be costly and take time, the client needed an efficient way to train the system using simulated, but realistic, data.
Our team focused on generating synthetic data that could effectively train the system to recognize and track insect activity.
Technologies used in this project
By generating synthetic data, we helped the client avoid the time and expense of capturing real insect images. This solution allowed for faster development and more reliable pest monitoring. The new system reduced the need for manual checks and improved accuracy, making it easier for warehouse operators to monitor pest activity and respond quickly.
This successful project lays the groundwork for future innovations. With the data pipeline in place, the client can further refine their product and expand into other automated monitoring solutions.
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2024 © InTechHouse – Software and Electronic Engineering
All rights reserved