Arus.io was approached by Red Mountain Scientific to develop a custom drone image capture platform using Python, React, TensorFlow, and AWS. The platform needed to ingest media captured by remote drone flights and feed it through a custom object detection model to identify maintenance needs for cell towers, such as loose fittings, bolts, rust, or other damaged parts.

Arus.io assembled a team of experienced developers with expertise in machine learning and computer vision technologies. The team worked closely with Red Mountain Scientific to understand their requirements and develop a comprehensive project plan to ensure the platform was delivered on time and within budget.

The platform was built using Python and React, which provided a robust and scalable framework for image processing and user interface development. The team used TensorFlow to develop a custom object detection model that could accurately identify maintenance needs for cell towers in the drone images.

To ensure that the platform could handle large volumes of data, Arus.io leveraged the latest AWS technologies, including S3 for data storage and EC2 for high-performance compute. The platform was designed to automatically process incoming drone images, feed them through the object detection model, and provide real-time feedback to on-site technicians.

The platform dramatically reduced the need for hazardous working conditions for on-site technicians and eliminated lengthy and error-prone manual paperwork processes. The platform’s advanced machine learning capabilities enabled technicians to quickly identify and prioritize maintenance needs, improving overall efficiency and reducing downtime for cell towers.

Red Mountain Scientific was impressed with the quality of the platform and the level of support provided by the Arus.io team throughout the project. As a result, Red Mountain Scientific has continued to work with Arus.io on additional machine learning projects, including predictive maintenance and image classification.

• + Python
• + Tensorflow
• + OpenCV
• + React
• + AWS