Research and development
We conduct advanced R&D projects in future technologies
Sound recording and processing
3D ambisonic sound
We develop advanced systems for recording and processing second-order ambisonic sound. Our solutions enable the creation of immersive audio experiences for VR/AR technology, immersive films, and cultural event broadcasts.
Expertise:
- Multi-microphone systems (9-channel B-format)
- Harmonic decoding algorithms
- Beamforming and sound source localization
- Acoustic room correction
- Audio-video stream synchronization
Image recording and processing
Multi-camera systems and video stitching
We design and build multi-camera systems for image recording. Our solutions include advanced algorithms for stitching, distortion correction, and high-resolution image processing.
Expertise:
- Multi-camera systems
- Video stitching algorithms
- Distortion and chromatic aberration correction
- HDR image processing
- Multi-channel synchronization
VR/AR technologies
Immersive VR/AR experiences
We create advanced VR/AR solutions for the cultural, educational, and commercial sectors. Our projects combine image capture, ambisonic sound processing, and interactive elements.
Applications:
- broadcasting cultural events,
- educational experiences,
- commercial applications,
- virtual tours.
Competencies:
- VR Theatre projects (broadcasting cultural events)
- Interactive VR/AR applications
- Audio-video integration in VR
- Software for playback and content editing,
- Compatibility with VR platforms (Meta Quest, HTC Vive, etc.)
Artificial intelligence
Generative AI and machine learning
We develop artificial intelligence-based solutions, from machine learning algorithms to generative models. Our expertise includes image and audio processing, data analysis, and process automation.
Applications:
- automation,
- data analysis,
- media processing,
- AI chatbots,
- AI voicebots,
- AI mailbots,
- recommendation systems.
Competencies:
- Machine Learning (ML) and Deep Learning (DL)
- Generative models (GPT, images, audio)
- AI image processing
- AI audio processing
- Business process automation
- Chatbots and conversational systems (X-TALK)
- Data analysis and predictive analytics
- Computer vision
Completed projects
Ambisonic X-VR
Status: Completed (2023-2026)
Funding: PARP - Innovative Solutions Program
Development of a multi-lens, modular system for VR image and sound recording with advanced distortion correction and quality optimization, used for broadcasting cultural and sporting events, among others.
Achievements:
Research station for a 9-channel B-format system
Harmonic decoding and beamforming algorithms
Multi-camera system integration
220° cultural event broadcasting
Technical expertise
Audio:
- Ambisonic systems (FOA, HOA)
- B-format (AmbiX, FuMa)
- Decoding algorithms
- Beamforming
- Acoustic correction
- Audio-video synchronization
AI:
- Machine Learning (scikit-learn, TensorFlow, PyTorch)
- Deep Learning (CNN, RNN, Transformer)
- Generative models (GPT, Diffusion Models)
- Computer Vision (OpenCV, MediaPipe)
- Natural Language Processing (NLP)
- Audio processing
- Automation (RPA, workflow automation)
Image:
- Multi-camera systems
- Video stitching (image alignment, blending)
- Distortion correction
- HDR and tone mapping
- High-resolution processing
- Multi-channel synchronization
VR/AR:
- VR platforms AR platforms
- Interactive experiences
- Real-time streaming
Product label analysis and intelligent recommendation system
Status: Completed
The completed project involved creating a modern system for automatically extracting key information from product labels and building a recommendation module to support the customer in the process of selecting a product and its proper dosage.
The solution was designed using natural language processing (NLP) technology and data analysis algorithms, enabling the interpretation of content found on product labels in a fast, precise, and scalable manner.
An integral part of the project was an intelligent recommendation module that analyzes user queries regarding specific products and how to use them. Based on available data, the system generates relevant product suggestions and presents recommended dosages in accordance with manufacturer information. As a result, the user receives quick and clear answers that support purchasing decisions.
The system identifies key information, such as:
- ingredients,
- intended use,
- contraindications,
- recommended dosage,
- additional warnings,
and then organizes them into a structured format.
Achievements:
- Streamlining the process of searching for product information.
- Improving user experience.
- Automating customer inquiry handling by minimizing the time required to analyze product documentation.
Contact and collaboration
Want to explore the possibilities of AI? Looking for an R&D partner? Let's get in touch!
Marta Majek
Sales specialist
X-ONE Sp. z o.o.
ul. Serdeczna 8T,
62-081 Poznań-Wysogotowo
Poland
VAT ID: PL7811961961