Artificial intelligence reshapes manufacturing from the ground up, transforming static automation into adaptive, data-rich ecosystems. This evolution extends beyond software, redefining physical infrastructure starting with the interconnect layer. As edge inference, high-speed data transfer and hybrid power-signal systems become standard, industrial connectors take on a central role, enabling real-time, resilient, and interoperable communication across AI-driven production environments. Here, Lee Slater, European operations manager at industrial connectors specialist PEI-Genesis explores the role of connectors in AI-powered manufacturing.
Smart Connections
In traditional, harsh operational technology (OT) environments, connectors were selected for their robustness, with required capabilities of IP67 ingress protection, vibration resistance and mechanical mating cycles often exceeding 500.
AI-enabled manufacturing systems demand connectors that maintain deterministic communication while managing high data throughput and electrical performance in ultra-compact footprints alongside high-voltage power sources and adaptive grounding topologies. This convergence of mechanical and signal-level engineering places connector design at the forefront of Industry 4.0 infrastructure planning.
Supporting Real-Time Intelligence
AI in manufacturing is only as effective as the data it receives. Data comes from a growing network of devices, including vision systems inspecting products, sensors monitoring motors and motion controllers making split-second adjustments. Devices are required to send large quantities of data in real time to edge processors or cloud systems where AI models analyze the information and initiate immediate responses.
Connectors serve as crucial components throughout this system. AI requires these devices to send data quickly while maintaining signal integrity. On the factory floor, challenges like vibration, moisture, extreme temperature, electromagnetic interference and high and low pressure make these requirements even harder. Connectors must not only be fast, but physically resilient and shielded from electromagnetic interference to ensure signal fidelity.
For example, connectors supporting industrial Ethernet or USB 3.1 must preserve signal quality at higher frequencies, while remaining mechanically secure and environmentally sealed. Weak physical connections can severely disrupt the consistent data flow which AI-enabled systems need to support remote machine vision and feedback loops as well as process adjustments.
Enabling Predictive Maintenance
One of AI’s most valuable contributions to manufacturing is its ability to predict failure before it happens. Predictive maintenance relies on real-time sensor data and past performance trends to spot early signs of wear or damage, helping teams fix issues before they turn into costly breakdowns. Increasingly, connectors themselves are becoming part of this predictive maintenance ecosystem.
Smart connectors equipped with diagnostics can track parameters such as mating cycles, contact resistance, thermal load and even environmental impacts. Once integrated into AI-driven maintenance systems or digital twins, this information can support the identification of performance deterioration, allowing timely operations to be carried out well in advance of system failure.
Supporting Modular Automation Systems
As AI enables factories to move away from rigid production lines and toward flexible, reconfigurable systems, the need for modular equipment has grown significantly. Machines are expected to adapt quickly to new products or workflows, especially in industries like electronics or packaging, where rapid product variation is common. Modular automation systems, powered by AI-based controllers, rely on plug-and-play components that can be added, removed or reprogrammed without extended downtime.
Modular connectors that merge power, signal, and data lines into a singular housing are vital to achieving this flexibility. These connectors allow machine modules to be rearranged or remapped without the necessity of rewiring.
For example, in packaging, AI optimizes production based on incoming orders in real time, automatically sending incremental changes to the control machine interface. When those changes involve adding or removing components, like different sealing units or inspection cameras, modular connectors allow for fast physical adjustments while maintaining reliable communication with the central control system.
The heavymate® series of robust modular connectors from Amphenol Sine Systems are built for high-current, high-voltage industrial applications. Their configurable design, with multiple contact arrangements and shell sizes, fits the varied needs of AI-driven machinery. Engineered for harsh environments, they offer reliable performance in the presence of dust, moisture, and vibration.
As factories become smarter, faster, and more automated, every part of the system needs to perform at a higher level, including connectors. In AI-driven manufacturing, connectors are critical to real-time data exchange, flexible system design, and long-term reliability.
PEI-Genesis supports manufacturers in adopting connector solutions like the heavymate® series to enable flexible, AI-ready infrastructure. Our offering helps simplify integration, reduce downtime during reconfiguration, and support the evolving needs of smart manufacturing environments.
To find out more about the wide range of industrial connectors offered by PEI-Genesis, visit www.peigenesis.com.
