Edge Impulse

About Edge Impulse

Edge Impulse key features

• Integration Capabilities: Quick integration with Python scripts and extensive API bindings for Python and Node.js.
• Data Management: Tools for collecting, visualizing, and preparing high-quality sensor datasets, including automated data pipelines.
• Performance Optimization: Features like EON™ Tuner and EON™ Compiler to enhance on-device performance and reduce memory footprint.
• Anomaly Detection: Advanced algorithms for detecting unusual signals and filtering anomalous inputs across various sensor modalities.
• Object Detection: Real-time object detection, tracking, and counting capabilities on microcontrollers using the FOMO algorithm.

Edge Impulse use cases

• Industry
• Wearables
• Computer vision
• Predictive maintenance
• Appliances

Useful for

• Enables machine learning teams to run AI efficiently on various edge hardware.
• Facilitates quick integration with existing workflows and development tools, enhancing productivity.
• Provides tools for building high-quality sensor datasets, including computer vision.
• Offers advanced feature engineering and model optimization for better on-device performance.
• Supports anomaly detection and object detection, enhancing the robustness of applications in real-time scenarios.

Price

• Pricing plans include a free tier for basic access to features.
• Paid plans offer additional capabilities and support, with pricing details available upon request.
• Custom pricing options are available for enterprise-level solutions.