Edge Computing

Data processing at the edge of your production

Pyramid Computer 's edge computing devices can handle the collection, aggregation, processing and analysis of data. Further processing of the data is then carried out at the point of origin. With their robust housings and diverse connections, they are optimized for edge gateway tasks.

Fanless versatility Edge Gateways - Aeron

fanless edge device

AKHET® Edge Device Aeron Max i

To the product

AKHET® Edge Device Aeron Lite i

To the product

Fields of applicationSmart factory, video analysis, infrastructure, AI inferenceMachine control, building automation, smart energy, logistics

Feature Aeron Max i Aeron Lite i
Processors Intel® Core™ 14th Gen Intel® Core™ 14th Gen
Cooling Fanless, robust, designed for continuous operation Fanless, robust, designed for continuous operation
Form factor Compact box PC housing Ultra-compact, DIN rail or wall mounting
Performance High-performance for AI, machine vision and data analysis Efficient for IoT sensor technology, control & edge preprocessing
Expandability More slots for LAN/COM, GPUs or I/O cards Basic I/Os, fewer expansion options
Target group Companies with high computing & expansion requirements Users with a focus on space-saving integration & efficiency

Advantages of edge computing

Computer computers are specially designed for demanding environments such as outdoor areas or production buildings, where they ensure reliable operation. They minimize downtimes as data can be processed locally and workflows can continue even without a cloud connection. At the same time, they reduce transmission costs by processing data at the point of origin.

Agile way of working

Thanks to their low latency, Computer computers are suitable for applications in industrial automation where fast reactions are crucial. They increase safety, prevent damage and enable near real-time data processing. Existing PLCs and sensors can also be connected, allowing older systems to be gradually developed into intelligently networked systems. This facilitates digital transformation and supports predictive monitoring and efficiency increases.

Smart Cities

Sensors on streetlights (video & lidar) record complex traffic situations. Mobile edge computing servers process data and create precise environment models for autonomous vehicles.

Industry

Predictive maintenance for pumps, detection of problems in real time, avoidance of damage and environmental risks. Predicting the service life of heat recovery steam generators under extreme conditions using sensor data.

Agriculture

Drone images + soil sensors (humidity, temperature). Machine learning detects diseases and pest infestations at an early stage. Goal: higher productivity, lower costs.