Real-time Drone Object Detection and Parking Assistance

In recent years, drones have been broadly utilized for aerial photography at much cheaper expenses. Nevertheless, capturing high-quality pictures or videos using most superior drones requires accurate manual control and are very error-prone. An implanted system framework, to power drones with the idea to let drone perform automatic detection and tracking. We executed the idea component which is a combination of advanced detection and tracking algorithms.

A detection and tracking system working real time on enclosed hardware powers the drones. We develop quick and precise detection algorithms. This makes the system quick and precise. We also analyze the runtime, power usage, and size of various hardware platforms and plan algorithms respectively.

There are many ways which can be used for obstacle avoidance including how the algorithm concocts the data. The best technique depends on the particular environment and is different for a crash avoidance drone and a robot in a warehouse.

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We develop obstacle avoidance algorithms which assess the data from the various sensors. The algorithm is a complete step-by-step direction set or formula for solving the problem of identifying all types of objects both moving or fixed. Depending on the algorithm, it will be fit to compare real-time data from collected referenced images of objects and can even develop on these images.

Drone Assisted Parking | Street Parking Detection

For many cities, parking can often prove to be ambiguous. It’s a major root of income but also a prime cause of traffic jam and troubles drivers. In the last few years, several "intelligent" parking solutions have been thought and some executed, such as sensors installed that relay to a smartphone when a parking space is available.

Drones find free space, and the smallest path to those space and eventually assist the driver to the best space. Drones could be equipped to monitor incoming vehicle movement or different parts of a complicated parking lot and use machine learning to identify drivers’ favorite space.

Need of this system

To help people find accessible parking space. With this system, we hope to allow drivers to avoid deflecting their attention to find parking space, hence increasing safety. If a lot of people use such parking detection system, then we could collect the parking data onto a server that keeps track of accessible parking space users drives past.

Results of our Analytical Approach:

Drives can now see the real-time drone videos in their cars, which will let them know the empty space in the lot.

With this, the driver can save his precious time in searching for space.

Fuel savings.

We offer powerful Data Processing Capabilities afforded by Cloud-based computing to deliver aerial monitoring, inspection, and intelligence-gathering capabilities. We have done the Automated Image Processing, our GCS software controls the drone, captures the images and uploads it to the server for further application of algorithms by our backend system.

An Indian Data Science Company, Canopus Data Insights is a leading provider of Data Science Products, Solutions and Services, to clients, from start-ups to large enterprises. It has expertise in generating insights from drone data and converting it into profitable business outcomes, be it Big Data or traditional data, structured or unstructured.

About the Company:

Canopus Data Insights provides Data Science and Data Analytics services that enable customer centricity by giving insight into data, which improves productivity and increases the depth of customer engagement and predictive modeling to make big decisions. Canopus Data Insights has an extensive knowledge and experience working with many domains including Data Analytics, Machine Learning, Pattern Recognition, Statistics, Artificial Intelligence, Operations Research and Big Data.

Canopus Infosystems is an Iso 9001:2008 Certified Company that specializes in providing outsourced web & mobile development and testing services to clients worldwide.