For perception systems in mobile robotics - particularly in demanding, highly dynamic environments - event cameras (DVS - Dynamic Vision Sensors) are being increasingly utilised as an alternative to conventional vision sensors. The real-time processing of the registered spatio-temporal sparse point cloud must satisfy stringent requirements in terms of latency, throughput, and energy efficiency. In this demonstration, we present our method for implementing Graph Convolutional Neural Networks on a heterogeneous SoC FPGA platform, aimed at meeting these constraints. We address the challenges associated with integrating event-based sensors with reconfigurable hardware, as well as the intricate relationship between latency, performance, and hardware resource utilisation.

The widespread use of digital platforms, prioritising content based on engagement metrics and rewarding content creators accordingly, has contributed to the proliferation of disinformation and its far-reaching social and political impact. In addition, digital platforms often operate as black boxes, concealing their decision-making processes from users and prioritizing investor interests over ethical and social considerations. Consequently, this has contributed to the erosion of general trust in verification systems. To mitigate this issue, our project proposes a two-stage verification system. The first stage allows media industries to watermark their image and video content. The second stage involves implementing a machine-learning-based manipulation detection system for suspicious content. We present findings from an international user experience study, where potential online news consumers verified the authenticity of images on a prototype version of our system. In this paper, we reflect on critical issues of explainability addressed by participants in our user study and how we addressed this issue in the platform’s design.

Currently, digital media content is increasingly being used by cybercriminals for nefarious purposes. Such objects can be used, e.g., to covertly transfer malicious code to the infected host or to exfiltrate sensitive information from the secured perimeter to the attacker’s server. In this paper, we present the design and deployment of a web page harvesting platform that allows performing various types of large-scale analyses, including metadata inspection, detection of hidden data, or evaluation of compliance with the graphical standard. The platform architecture has a distributed, flexible, and modular form, making it easily extendable and efficient. In this article, we also include initial experimental results of the analyzes carried out on the content of 1,000 of the most popular websites.

Neuromorphic vision is a rapidly growing field with numerous applications in the perception systems of autonomous vehicles. Unfortunately, due to the sensors working principle, there is a significant amount of noise in the event stream. In this paper we present a novel algorithm based on an IIR filter matrix for filtering this type of noise and a hardware architecture that allows its acceleration using an SoC FPGA. Our method has a very good filtering efficiency for uncorrelated noise - over 99% of noisy events are removed. It has been tested for several event data sets with added random noise. We designed the hardware architecture in such a way as to reduce the utilisation of the FPGA's internal BRAM resources. This enabled a very low latency and a throughput of up to 385.8 MEPS million events per second. The proposed hardware architecture was verified in simulation and in hardware on the Xilinx Zynq Ultrascale+ MPSoC chip on the Mercury+ XU9 module with the Mercury+ ST1 base board.

This work describes the hardware implementation of a connected component labelling (CCL) module in reprogammable logic. The main novelty of the design is the "full", i.e. without any simplifications, support of a 4 pixel per clock format (4 ppc) and real-time processing of a 4K/UltraHD video stream (3840 x 2160 pixels) at 60 frames per second. To achieve this, a special labelling method was designed and a functionality that stops the input data stream in order to process pixel groups which require writing more than one merger into the equivalence table. The proposed module was verified in simulation and in hardware on the Xilinx Zynq Ultrascale+ MPSoC chip on the ZCU104 evaluation board.

This work presents a comparison of hardware architectures realising a connected component labelling (CCL) algorithm in reprogrammable logic. The architectures are capable of processing a video stream with 4K/UltraHD resolution at 60 frames per second in real-time. The modules were verified in simulation and in hardware on the Xilinx Zynq Ultrascale+ MPSoC chip on the ZCU104 evaluation board.

In this study, the authors demonstrate that transmission rate in white phosphorescent light emitting diode (LED) transmitter communication‐illumination system can be increased significantly by simultaneous transmission of an additional infrared (IR) channel. Unlike in typical colour multiplexing, the IR channel does not require a dedicated receiver filter as the channel crosstalk can be removed using digital signal processing. Both channels can operate in synchronous or asynchronous mode. The experimental results in this study demonstrate a significant increase in the data rate.

We present the web service composition system TripICS, which allows for an easy and user-friendly planning of visits to interesting cities and places around the world in combination with travels, arranged in the way satisfying the user’s requirements. TripICS is a specialization of the concrete pla nning of PlanICS viewed as a constrained optimization problem to the ontology containing services provided by hotels, airlines, railways, museums etc. The system finds an optimal plan by applying a modification of the most efficient concrete planner of PlanICS based on a combination of an SMT-solver with the algorithm GEO. The modification has been designed in order to solve quickly multiple equality constraints. The efficiency of the new planning algorithm is proved by experimental results.