The E2IP Edge AI Sensing Platform (E AI SP), a platform for developers, engineers, and early adopters wishing to explore the upcoming frontier of intelligent edge AI computing, has been launched – said E2IP official release.
E AI SP unlocks the full potential of smart devices by enabling the addition of intelligence to devices at the network’s edge.
E AI SP, which is driven by the STMicroelectronics AI MCU processor STM32N6, is intended to provide general-purpose sensing and image processing capabilities for vertical applications on edge devices that are powered by AI across industries.
Powered by the STMicroelectronics AI MCU processor STM32N6, E AI SP is designed to deliver cross-industry AI-powered general purpose sensing and image processing capabilities for vertical applications on edge devices.
The Edge AI Sensing Platform combines high-performance machine vision with robust edge AI processing that delivers real-time insights and enables smarter decisions directly on the device.
Seamlessly integrating machine learning and supporting AI algorithms makes this platform suitable for demanding applications in medical, security, industrial automation, smart cities and more.
The platform is designed for situations where time (low latency), efficiency (low power consumption and reduced data transfers) and security (no transmission of sensor data) are important.
E AI SP is extremely compact and energy efficient and minimizes the data to be stored and transmitted, enabling real-time, low-latency decision making at the device level.
Key Features:
- STM32N6-based architecture: Powered by the latest STM32N6 microcontroller, which offers exceptional computing power, energy efficiency and a proprietary NPU
- Real-time edge AI processing: Process data locally with low latency to gain insights faster.
- Machine vision integration: Integrated support for computer vision that enables real-time object recognition, motion tracking and intelligent scene understanding
- Scalable: Whether you are developing a smart factory, an autonomous vehicle system, or an AI-powered surveillance network, the platform is designed to be scalable for different applications.
Why Early Adopters Should Take Notice:
- Innovation at the Edge: Leveraging powerful AI models and machine vision at the edge of the network, reducing dependence on centralized computing resources and improving data protection
- Future-proof and flexible: The EdgeAI Sensing Platform enables users to future-proof their designs with an ecosystem that supports both hardware and software advancements
- Low latency, high efficiency: Edge -based processing minimizes latency, enabling near real-time inference – a critical factor for applications that require sub-second decision-making.
- Easy development: STM32Cube.ai’s development tools and models make getting started with AI-powered sensing and machine vision easier than ever, without requiring in-depth hardware design knowledge
Key Comments
“We are excited to offer a platform that accelerates AI innovation for general purpose sensing and imaging applications,” said Eric St-Jacques , CEO of e 2 ip technologies. “The combination of EaiSP’s compute power, energy efficiency and AI capabilities with the support of development tools and services provides an unprecedented opportunity for early adopters to pave the way for intelligent, AI-powered solutions by adding intelligence at the edge of sensors.”
Availability
Developed in collaboration with Siana-Systems , the first version of the Edge AI Sensing Platform with Machine Vision will be available in January 2025 and will be demonstrated at CES in the ST Pavilion.
