EdgeImpulse
UnclaimedThe leading platform for building, deploying, and managing AI on any edge device.
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TL;DR - EdgeImpulse
- Develop and deploy AI models directly on edge devices.
- Optimize models for performance and memory constraints on diverse hardware.
- Accelerate time to market for intelligent products across various industries.
Pricing: Paid only
Best for: Enterprises & pros
Pros & Cons
Pros
- Simplifies complex ML tasks for embedded developers
- Accelerates development and time to market for edge AI products
- Supports a wide range of edge devices and hardware
- Optimizes models for memory and latency constraints
- Provides robust tools for anomaly detection and object detection on microcontrollers
Cons
- Requires technical expertise in machine learning and embedded systems
- Specific pricing details are not publicly available, requiring a demo or contact
Key Features
Build datasets from various sensors and camerasTrain and optimize machine learning modelsDeploy optimized libraries to MCUs, NPUs, CPUs, GPUs, and gatewaysState-of-the-art DSP algorithms for feature engineeringReal-time on-device performance profilingEON™ Tuner for balancing feature extraction and model architecturesEON™ Compiler for converting models to optimized C++ librariesPerformance calibration with False Activation Rate (FAR) and False Rejection Rate (FRR) analysis
Pricing Plans
Enterprise
Request Pricing
- Monthly Uptime Percentage of at least 99.5% during any calendar month, more details in the Enterprise ToS
About EdgeImpulse
By Toolradar Team·
Edge Impulse is a comprehensive edge AI development platform that enables machine learning teams to build, train, and deploy AI models directly onto a wide range of edge devices, from microcontrollers to powerful gateways. It simplifies the complex process of edge AI development by providing tools for data ingestion, feature engineering, model optimization, and deployment, accelerating the delivery of next-generation intelligent products and solutions.
The platform is designed for engineers and developers working on products that require on-device intelligence, such as those in manufacturing, product development, transportation, and industrial sectors. It helps users unlock insights from sensor data, reduce time to market, and de-risk model development through agnostic and scalable AI tools. Edge Impulse supports various data types, models, and edge hardware, ensuring flexibility and broad applicability.
Key benefits include faster time to market, removal of hidden complexities in ML development, and the ability to quickly progress high-value tasks leading to commercialization. The platform emphasizes seamless collaboration for production-ready models and offers robust features for optimizing performance, testing with real-world data, and continuous monitoring post-deployment.
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EdgeImpulse FAQ
How does Edge Impulse's EON™ Compiler optimize models for resource-constrained microcontrollers?
The EON™ Compiler converts trained models into highly optimized C++ libraries. It significantly improves overall model performance by supporting a wide range of neural network kernels and reduces the model’s memory footprint by over 50% compared to other frameworks, making it suitable for deployment on devices with limited memory and processing power.
What specific capabilities does FOMO (Faster Objects More Objects) offer for object detection on microcontrollers?
FOMO is a groundbreaking algorithm integrated into Edge Impulse that enables real-time object detection, tracking, and counting on microcontrollers. It is designed to be extremely efficient, running up to 30 times faster than MobileNet SSD and requiring less than 200KB of RAM, allowing for advanced vision capabilities on highly constrained edge devices.
How does Edge Impulse help in de-risking the development of edge AI models?
Edge Impulse de-risks model development by providing an agnostic and scalable platform that allows for rapid iteration and validation of ideas. It includes tools like the EON™ Tuner to find optimal balances between feature extraction and model architectures, and performance calibration to test models with real-world data, ensuring expected performance in the field before full deployment.
Can Edge Impulse be integrated into an existing product platform for a branded experience?
Yes, Edge Impulse offers solutions for OEMs that allow full integration into their platforms. This provides a completely branded and customized experience for their users and customers, along with access to private analytics dashboards for monitoring user engagement, entitlements, and project metrics.
What kind of security and privacy standards does Edge Impulse adhere to for enterprise users?
Edge Impulse is AICPA SOC 2 Compliant, indicating adherence to strict security and privacy standards. This includes measures for maximum uptime and safety through autoscaling, redundancy, CDN, encryption, and regular software updates, ensuring data integrity and operational reliability for enterprise deployments.
Source: edgeimpulse.com