Combining Lanner’s Edge AI Appliance with Intel Edge Insights for Industrial, the Lanner Edge AI Starter Kit aims to deliver an all-in-one platform composed of a high-speed camera, Intel CPU and VPU-accelerated computing hardware, and application-tailored software to accelerate time-to-market AI deployment at the industrial edge, such as vision inspection, predictive maintenance and operator monitoring.

 

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Faster Edge Deployments

Consolidated baseline AI hardware kit simplifies and accelerates deployment of edge AI solutions

Quicker Productization

Pre-installed vision & analytics suite provides a vetted environment for development and integration of pre-trained use-case models

Value-added SW Suite

Full vision suite optimized with OpenVINO™ to run faster on Intel hardware even with a CPU-only system

Intel® Edge Insights for Industrial

Intel® Edge Insights for Industrial is an open and modular product validated software that aggregates and processes time series, image/video data at the edge to provide useful insights via edge analytics. Powered by the Intel® Distribution of OpenVINO™ toolkit, EIS accelerates development, enabling quick integrations of pre-trained models (e.g., Tensorflow, Caffe, etc.) for object recognition, classification, and facial recognition in vision-based solutions.

Edge AI Compute Platform

Lanner Edge AI Starter Kit for industrial is powered by the edge compute platform LEC-2290. Integrated with 8th Gen Intel Core i7 CPU (codenamed “Coffee Lake-S”), the Lanner LEC-2290 is a fanless Edge AI Computer suited for harsh, space-confined environments for enabling compute-intensive applications for industrial edge AI. The system’s computing capacity can be further expanded via the pluggable Intel Myriad X VPU to implement video processing while the CPU executes machine vision algorithms.

 

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Featured Product


LEC-2290

Intelligent Edge Computing Box PC w/ Support for Intel® Core™ i7-8700T/i7-8700

CPU Support Intel® Core™ i7-8700T/i7-8700 Core i (FCLGA1152), Codenamed Coffee Lake S
Chipset FH82C246

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