QuickAI is optimized for use with SensiML's AI Software toolkit, enabling you to build more intelligent IoT edge & endpoint applications
With the advent of Industry 4.0 and the proliferation of IoT, there is a need to make smarter devices that process the sensor data AND make decisions LOCALLY. Traditional cloud-based approaches to designing AI systems make it difficult to migrate AI to endpoint devices due to aggressive battery life, processing capability and environmental constraints. These limitations and requirements call for a different type of artificial intelligence at the endpoint device – one that is zero latency, low power, low cost and easy to train. Security is a non-factor as sensor data never leaves the endpoint device, like in traditional cloud based AI systems.
Benefits
- The QuickAI HW/SW platform includes the SensiML Analytics Toolkit that enables OEMs to develop AI software for a broad array of resource-constrained time-series sensor endpoint applications. These include a wide range of consumer and industrial sensing applications including wearables, mobile, predictive maintenance, factory automation, structural health monitoring and smart harvesting equipment.
Features
- QuickAI: An integrated HW/SW solution that enables AI for IoT devices
- Low power sensor processing
- Data capture lab for data collection, labeling and training
- Data analytics SW for AI model and classifier generation
- Automatic firmware development for the QuickAIAI multi-core SoC platform
- eFPGA low power implementation for HW acceleration and feature extraction
Product Video
Industrial IoT Vibration Sensor with Edge AI Inferencing
Resources
QuickAI: Industrial IoT Application Block Diagram
“Through the use of anomaly detection with adaptive smart sensor hardware and our AI Toolkit, developers of sensor modules can offer new innovative solutions that efficiently monitor plant equipment, optimize processes, and lower operating costs to improve the bottom line.”
Chris RogersCEO of SensiML
Ecosystem Partners
