The Multiview Classifier uses information from multiple perspectives to categorize objects with the highest accuracy. By analyzing the multiple views of an object, even subtle differences can be detected that might be overlooked if viewed from just one perspective. This is particularly useful in applications such as quality control, medical imaging or object recognition in complex environments.
Multiview detector: Detailed detection and localization of objects in imagesThe Multiview detector enables the precise detection and localization of objects in images. By combining information from different perspectives, objects can be reliably detected even if they are partially obscured or displayed in unusual positions. This is relevant for applications such as autonomous navigation, surveillance or industrial automation.
Multiview anomaly detection: reliable identification of deviations and errorsMultiview anomaly detection is used to identify deviations and errors in data sets. By analyzing the multiview data, anomalies can be detected that might not be noticeable when looking at individual data sources. This is crucial for applications such as error detection in production processes, fraud detection or the monitoring of critical infrastructures.
Parameter reductionOur models can be reduced from half a billion to just a few million parameters through targeted optimization, without losing significant accuracy. This enables a significant reduction in model size and an acceleration of inference time.
High scalabilityOur AI models are highly scalable and can be flexibly adapted to different requirements and hardware configurations.
Compact model sizesWe optimize our models to run on edge devices or other AI accelerator hardware such as HAILO. Models as small as 5 MB to 30 MB can be easily deployed on a variety of edge devices, enabling decentralized processing.
Real-time inferenceOur optimized models deliver near real-time performance with inference speeds from milliseconds to one second.
This enables fast and responsive processing of data in real-time applications, such as industrial automation or autonomous robotics.
The K|Lens Multiview AI system offers a comprehensive and holistic approach to the development and implementation of powerful AI solutions based on multiview data. Our system covers the entire AI process flow, from data acquisition and processing to dataset creation and annotation, model training, deployment and ongoing maintenance.
Comprehensive data acquisition and processingWe support a wide range of sensors to integrate diverse data sources. These include our patented K|Lens Light Field Sensor (1inch or HighRes), the K|Lens scanner sensor and existing camera setups. This flexibility allows us to find the optimal data acquisition solution for your specific requirements.
Efficient data set creation, preparation and annotation:Our multiview data curation ensures the efficient creation of high-quality data sets. We offer comprehensive data collection, data cleansing and data annotation services to maximize the quality and accuracy of training data. Through these steps, we can vastly improve the quality of AI models.
Advanced AI model supportIn addition to our core models (Multiview classifier, Multiview detector, Multiview anomaly detection), we offer specialized models for specific application areas:
Multiview OCR (Optical Character Recognition): For the precise recognition and extraction of text from images.
Multiview GenAI (Generative AI): For generating synthetic datasets to augment training data and improve model performance.
We offer flexible deployment options to ensure seamless integration of our AI solutions into your existing infrastructure. Integration is done via powerful APIs that enable smooth communication with your systems. For visualization and interaction with the AI results, we offer intuitive user interfaces (UIs) that can be tailored to your specific needs.
By utilizing multiple perspectives, subtle patterns and relationships are revealed, resulting in significantly improved AI models. The Multiview classifier enables high-precision categorization of objects, even in complex environments. The Multiview detector ensures reliable detection and localization of objects, even in occlusions or unusual positions. The Multiview anomaly detection reliably identifies deviations and errors that could be overlooked in individual views.
The combination of different data views makes the AI models more resistant to disturbances and variations.
Support for multiview and singleview data, making the models versatile. Adaptation to different sensors and camera setups, including the K|Lens light field sensor, K|Lens scanner sensor and camera arrays. Highly scalable AI models that can be flexibly adapted to different requirements and hardware configurations. Flexible deployment options and adaptation to existing infrastructu
Parameter reduction enables faster inference times and deployment on edge devices. Real-time inference with speeds from milliseconds to one second. Efficient dataset creation, preparation and annotation through multiview data curation.
Compact model sizes enable use on low-cost edge devices. Reduced hardware requirements and low latency.
Specialized models such as Multiview OCR and Multiview GenAI for specific application areas.
Powerful APIs for integration into existing systems. Intuitive user interfaces (UIs) for visualization and interaction.
Comprehensive support from the data collection process to the deployment and maintenance of AI models.
