Home News Center AI-Driven Intelligent Upgrade in Three Core Scenarios: Who is the Computing Engine Behind It?

AI-Driven Intelligent Upgrade in Three Core Scenarios: Who is the Computing Engine Behind It?

Author:研祥智能 Date:2025-12-09 Number of readings:26

The wave of AI is surging from the digital realm into the vast physical world, reshaping countless industries with unprecedented force. However, transforming intelligent algorithms into tangible, deployed applications requires a reliable carrier capable of stable operation in harsh environments.

EVOC Intelligent's new-generation M80B is precisely the powerful engine born to carry AI computing power, bringing intelligence to every critical scenario.

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The core challenge in smart manufacturing has evolved from automating single processes to AI-centric autonomous optimization. As the intelligent brain of the production line, the M80B leverages its embedded AI acceleration engine to autonomously learn and analyze real-time data across the entire production chain, driving manufacturing systems towards autonomous decision-making

The M80B utilizes AI algorithm models to dynamically predict and optimize process parameters while intelligently scheduling multiple robots for efficient collaborative operations. In complex processes such as welding and assembly, it adaptively adjusts robotic arm movements and production rhythms based on real-time AI analysis results, significantly enhancing overall efficiency and product consistency, thereby building a closed-loop intelligent production system driven by AI.

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In the field of autonomous driving, safety and efficiency often depend on the vehicle's ability to understand its environment and make optimal decisions in an instant. As the in-vehicle AI computing hub, the M80B integrates and processes multi-source sensor data from LiDAR, cameras, GPS, etc., using advanced AI fusion algorithms to construct high-precision environmental models in real-time.

Leveraging powerful AI inference capabilities, the M80B can complete the full-chain processing of "obstacle recognition — trajectory prediction — path planning — control execution" with millisecond-level latency, intelligently responding to complex road condition changes, ensuring driving accuracy and safety, and endowing unmanned systems with highly autonomous intelligent capabilities.

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Faced with the logistical pressure from year-end e-commerce promotions, AI technology has become a key support for improving quality and efficiency in sorting centers. As the core AI visual processing unit of the system, the M80B integrates deep learning visual algorithms, enabling it to intelligently identify various parcel information.

Even in harsh environments and encountering complex situations such as irregular items, the M80B can still accurately identify and intelligently judge, sorting and conveying goods to their destinations, effortlessly achieving ultra-high sorting efficiency exceeding 100,000 pieces per hour, and calmly handling business peaks during major promotions.

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