Small Pixels is an Italian company with a strong international reach, specialising in advanced technological innovation.
The company provides cutting-edge video optimisation solutions, leveraging artificial intelligence refined with proprietary and pre-trained neural network technology to meet the needs of various image-related markets, including media and audiovisual production.
Founded in 2020 as a spin-off from the University of Florence, the company pursues two primary objectives with its innovative solutions:
• To reduce bandwidth costs associated with distributing multimedia audiovisual content to the public.
• To simultaneously enhance the quality of broadcasts and the distribution of digital resources across multiple platforms.
The company logo immediately conveys its mission, specialising in video-tech and focusing on cutting-edge technologies for the management and optimisation of large volumes of visual data used in contexts such as video, cinema, television, Telco, and corporate applications.
The central graphic element depicts a stylised robotic face, integrating key symbols of artificial intelligence.
Details resembling electronic circuits and components evoke a stylised brain, underscoring the idea of advanced cognitive technology.
The company’s technology reduces common visual artefacts, such as pixelation, noise, and other distortions, significantly improving streaming or real-time transmission quality.
This optimisation occurs without the need for expensive or high-power hardware, allowing users to enjoy high-quality content even with limited hardware resources.
Furthermore, Small Pixels’ solutions integrate seamlessly into the client’s workflow, without necessitating any adjustments to video production or distribution chain components, enabling straightforward adoption.
Small Pixels offers a catalogue of pre-trained neural network models, specifically developed to address varied needs across sectors such as film, sports, and gaming.
These models are designed to enhance visual content, optimising graphics performance across devices—from televisions to smartphones—ensuring a smooth, high-quality visual experience on any platform. Small Pixels’ AI approach, incorporating machine learning, deep learning, and natural language processing applications, harnesses advanced technology to intelligently optimise every frame, substantially enhancing data flow quality.
Small Pixels’ solutions are applied in key sectors such as video surveillance, professional video, and broadcast, delivering significant impact in live sports broadcasting, where they substantially improve RF signals from action cams, as well as aerial drone footage.
They are essential for statistical analysis, historical archive restoration, and for Telcos seeking to boost subscriber retention in streaming services.
These solutions also improve visualisation in mobile device players, such as smartphones and tablets.
Another rapidly growing area for Small Pixels is in OEM applications embedded in chipsets and hardware encoders, which improve video quality and reduce bandwidth.
Curious? If the above description has piqued your interest and you wish to explore how these solutions can dramatically transform your video content and reduce distribution costs, book a demo to experience Small Pixels’ solutions first-hand.
Together, we’ll delve into every aspect to understand how to best optimise your visual flows and maximise user experience in any context.
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INFO: https://www.smallpixels.ai
© 2024 Small Pixels – Presspool PressOffice RobertoLandini
Synopsis
Small Pixels, an Italian company with a global outlook, leverages artificial intelligence to enhance video flow and quality. Founded as a spin-off from the University of Florence, it has developed neural network technologies to reduce bandwidth consumption and improve broadcast quality. Small Pixels’ AI solutions optimize the viewing experience without requiring advanced hardware, making them adaptable to industries such as broadcasting, gaming, and video surveillance. These technologies are transforming audiovisual content distribution globally.
Tags:
#videooptimisation, #AI, #neuralnetworks, #broadcasting, #audiovisual, #streaming, #digitalmedia, #bandwidthreduction, #videotech, #innovativetech, #smallpixels
