Crosser vs. Azure Percept

Harness the power of Edge computing to transform large datasets into actionable insights that are easy to manage. Collect sensor data from all your machinery and create connections to various devices such as sensors, PLCs, DCS, MES, or historians. Adopt condition monitoring for assets situated in remote locations, effectively adhering to Industry 4.0 standards to ensure optimal data collection and integration. Combine real-time streaming data with enterprise-level information for smooth data transitions, utilizing either your preferred Cloud Provider or an in-house data center for storage needs. Take advantage of Crosser Edge's MLOps features to implement, manage, and deploy your tailored machine learning models, while the Crosser Edge Node accommodates any machine learning framework. You can access a centralized repository for your trained models hosted in Crosser Cloud, and simplify your data pipeline with an intuitive drag-and-drop interface. Easily deploy your machine learning models across multiple Edge Nodes in a single action, enabling self-service innovation through Crosser Flow Studio. Benefit from an extensive collection of pre-existing modules that enhance collaboration among teams in different locations, significantly decreasing dependency on specific team members and boosting overall organizational productivity. By leveraging these advanced capabilities, your operational workflow will not only enhance collaboration but also drive innovation to unprecedented levels, paving the way for future advancements.

Azure Percept is a comprehensive and intuitive platform that bolsters the security of edge AI solution development. You can get started on your proof of concept within minutes by leveraging hardware accelerators that are specifically engineered for seamless integration with Azure AI and Azure IoT services. The platform functions directly with Azure Cognitive Services, Azure Machine Learning, and an array of other Azure tools to deliver instantaneous insights for visual and auditory data. This all-in-one edge AI platform incorporates integrated hardware accelerators that connect effortlessly to Azure's AI and IoT services, facilitating a streamlined experience. With access to pre-built AI models and management tools, you can swiftly initiate your proof of concept. Furthermore, robust security features are woven into your edge AI solution, protecting your most crucial and valuable resources. You can also tap into a diverse library of ready-made AI models that provide vision capabilities, such as object detection and shelf analytics, as well as audio functionalities like voice control and anomaly recognition. The platform empowers users to customize AI model training without requiring any coding skills, allowing for deployment options that include both local and cloud environments. This level of flexibility guarantees that users can adapt their AI solutions to meet specific requirements while ensuring top-notch security and operational effectiveness. Ultimately, Azure Percept represents a significant advancement in making edge AI more accessible and secure for organizations of all sizes.