Diamond Technologies walks through a compact portfolio of OEM data-collection building blocks: embedded 1D/2D barcode scan engines and RFID modules aimed at instrument makers who need reliable decode, simple mechanical integration, and predictable interfaces. The demo highlights a small embedded barcode reader built around a VGA imager, with options that move up to 1.3-megapixel wide-angle imaging when you need a larger field of view without growing the optical path. https://www.diamondt.com/
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On the RFID side, the module shown uses a dual-stack antenna approach so a single footprint can cover both LF and HF bands, paired with an Ethernet interface for straightforward network attachment. In practice that combination maps well to asset tracking, consumables authentication, and patient/sample ID workflows where you may need both proximity cards and tag formats, plus deterministic connectivity at the edge.
The conversation then widens to Beacon EmbeddedWorks (the parent brand after the acquisition) and its system-on-module strategy: Open Standard Module (OSM) form factors that let teams swap compute while keeping a consistent carrier design. Examples called out include NXP i.MX8M Plus and i.MX9 options, plus an STM32MP2 alternative, all positioned to reduce bring-up time, accelerate BSP work, and keep peripheral routing sane for production hardware shown on the booth floor.
A notable highlight is a tiny wearable-class Qualcomm platform module (the W5 family) that packages CPU plus GPU/NPU/VPU capabilities, multimedia encode/decode, eMMC, and LPDDR into a power-bounded footprint. The live demo pairs this with rail-level power telemetry (Beacon’s Watson monitoring) to show how toggling radios like Bluetooth/BLE impacts total draw, which is exactly the kind of feedback loop you want when designing always-on, battery-limited devices.
Finally, the tour touches real edge AI integration: a PCIe vision-inspection add-in running color classification and defect detection (the “Skittles” example) under SOM control, illustrating how inference workloads can be split between accelerator hardware and an embedded controller. The broader theme is long lifecycle support for regulated markets—defense, aerospace, medical, and FDA-locked designs—where stable SOM availability, software maintenance, and reproducible manufacturing matter as much as raw compute for the product team.
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