The Projeto Redentor project was planned and executed by Aeryon Labs Inc. in partnership with Pix4D and PUC University of Rio de Janeiro to create a use case that shows the feasibility, accuracy and efficiency of image-based 3D modelling for large, extremely detailed objects in complex surroundings.
Throughout the world, policing organizations are challenged with balancing the collection of thorough and lasting evidence, creating accurate 3D scene reconstructions for crime and traffic departments, rapidly clearing roads and highways, performing high-risk ERT scenarios, or conducting search & rescue operations – all while keeping costs within budget.
As more small Unmanned Aerial Vehicles (UAVs) become available, choosing the right solution can be daunting. Making the right decision is essential for policing organizations, especially since the budget for equipment purchases is typically between 5 and 15 percent of total budget and each department is accountable to several (internal and external) stakeholders.
There are many practical applications for micro UAV’s. In cases such as military reconnaissance or emergency response, instant availability of high quality imagery can have life or death consequences. In other cases such as aerial surveys or environmental monitoring, workers have limited time and resources to successfully complete a job. In all cases, the absolute necessity of the UAV operator is to quickly and efficiently provide the high quality data that is needed in the field.
Unfortunately with many micro UAV’s, collecting the data often takes a back seat to stabilizing and controlling the vehicle and its payload. Rather than specifically focusing on the priority task of obtaining quality imagery, the UAV operater spends more time focused on controlling the system and its payload. This whitepaper outlines why an intuitive control methodology is key to the success of a UAV program and what key attributes to look for in a system.