Metapix AI is a visual data management platform that utilizes artificial intelligence and computer vision technologies to perform object detection, facial recognition, and vehicle analytics. By processing visual data at both the edge and cloud, it enhances decision-making in sectors such as transportation, retail, and healthcare, improving operational efficiency and security.
Funding
Funding not disclosed
Founders
Product
Problem
Many organizations struggle to efficiently manage and extract actionable insights from the increasing volume of visual data generated by cameras and sensors. Traditional methods often lack the scalability and intelligence needed to process this data effectively, hindering decision-making and operational efficiency.
Solution
Metapix AI offers a visual data management platform that leverages artificial intelligence and computer vision to provide object detection, facial recognition, and vehicle analytics. The platform employs a hybrid edge-to-cloud processing architecture, enabling efficient data processing and analysis at both the edge and cloud layers. Deep learning algorithms, particularly convolutional neural networks (CNNs), are utilized for tasks such as object detection, recognition, tracking, and classification. By facilitating the creation and sharing of custom dashboards, graphs, widgets and feeds, Metapix AI enables stakeholders to visualize and interpret the insights generated by the platform effectively.
Target Audience
Metapix AI serves a diverse range of industries including transportation, retail, banking, industrial automation, education, healthcare, and smart cities.
Features
- Hybrid edge-to-cloud processing for efficient data handling.
- Object detection, recognition, tracking, and classification using deep learning algorithms (CNNs).
- Vehicle analytics including License Plate Recognition (LPR), vehicle counting, and vehicle type identification.
- Facial analytics with facial recognition, age and gender estimation, and face clusterization.
- Customizable dashboards, graphs, widgets, and feeds for data visualization.