Archive

Posts Tagged ‘image processing’

Vision-based emergency landing system for indoor drones (using FPGA)

December 3rd, 2016 1 comment

At 4th semester of my bachelor at Aalborg University me and my project partner became a part of a new research project, UAWorld (DRONER RYKKER INDENDØRS MED DANSK TEKNOLOGI). A project aiming for developing a new infrastructure and a set of drones capable of being used in indoor industrial environments with dynamically changing obstacles (and layout) and human beings likely to walk around. The drones within the project is intended to carry assembly line goods around an assembly line hall into a warehouse where it will be autonomously offloaded.

UAWorld usecase

UAWorld usecase

The main research group within the project had already taken several decisions regarding the drone typology, which indoor positioning system to use and which wireless communication to use. But being dependent on these systems (positioning and wireless link) to reliably navigate a mission critical environment, making sure that the drone would never drop the goods or crash into human beings even at emergency situations, is just as an important task as making the quadcopter navigate safely.

For download links to the report and source code, please scroll to the bottom of the post. Further videos of the project undergoing development can also be found in the bottom of the post.
Read more…

Color object tracking with STM32 + OV7725

January 27th, 2014 10 comments

Abstract
DEVELOPMENT OF AN EMBEDDED SYSTEM FOR TARGETING A COLOR OBJECT USING A VIDEO CAMERA INTEGRATED TO A MICROCONTROLLER
This project uses STM32F103 microcontroller to track an object, it gets the image from an OV7725 camera + FIFO, it is configured as rgb565 QVGA(320×240).
In the touchscreen the target object can be selected, its color defines the thereshold to binarize an image. After the segmentation is done an algorithm recognizes the contour of the image and its center, once located a PI controller moves 2 servos (pan, tilt) in order to target the objective.
A video of the system doing real-time tracking can be seen in the bottom of the post. The source code and Keil project for the STM32F103VCT device can be downloaded here: Image_Processing.zip
Front

Objective
Designing an embedded system in a microprocessor for detection and targeting a colored object, without the need for externally processing system (PC)
Read more…