An Event-based Fast Movement Detection Algorithm for a Positioning Robot Using POWERLINK Communication
Juan Barrios-Avil\'es, Taras Iakymchuk, Jorge Samaniego, Alfredo, Rosado-Mu\~noz

TL;DR
This paper presents an integrated industrial tracking system using an event-based camera and FPGA for fast movement detection, demonstrating improved speed and efficiency over traditional methods in a robot control context.
Contribution
It introduces a novel FPGA-based filtering algorithm and integrates an event-based camera with POWERLINK network for real-time robot tracking and control.
Findings
Robot accurately follows the ball with fast image recognition
Event-based system offers advantages in size, price, and power
Successful integration of new technology into industrial systems
Abstract
This work develops a tracking system based on an event-based camera. A bioinspired filtering algorithm to reduce noise and transmitted data while keeping the main features at the scene is implemented in FPGA which also serves as a network node. POWERLINK IEEE 61158 industrial network is used to communicate the FPGA with a controller connected to a self-developed two axis servo-controlled robot. The FPGA includes the network protocol to integrate the event-based camera as any other existing network node. The inverse kinematics for the robot is included in the controller. In addition, another network node is used to control pneumatic valves blowing the ball at different speed and trajectories. To complete the system and provide a comparison, a traditional frame-based camera is also connected to the controller. The imaging data for the tracking system are obtained either from the…
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Taxonomy
TopicsAdvanced Memory and Neural Computing · CCD and CMOS Imaging Sensors · Neuroscience and Neural Engineering
MethodsSPEED: Separable Pyramidal Pooling EncodEr-Decoder for Real-Time Monocular Depth Estimation on Low-Resource Settings
