OEM Iris Recognition Module Buyer's Guide: Specs & Integration

Why OEM Iris Modules Matter for Device Manufacturers

Iris recognition has moved beyond government border control and into mainstream commercial products. Access control terminals, ATMs, point-of-sale kiosks, time-and-attendance clocks, and even consumer electronics now use iris-based authentication. For device manufacturers building these products, the core engineering decision is which iris recognition module to embed. The module determines your device's recognition accuracy, throughput speed, power envelope, and physical dimensions. It also determines how much of the biometric pipeline you must implement yourself versus what ships ready-made from the module vendor.

Unlike finished iris recognition devices, OEM modules are designed to be integrated into third-party hardware. They expose well-defined electrical interfaces (USB, I2C, or both), standardized mechanical mounting points, and software development kits that abstract the image capture and matching algorithms. This lets your engineering team focus on your product's unique value proposition -- the enclosure design, user interface, network connectivity, and business logic -- rather than reinventing iris biometrics from scratch. However, choosing the wrong module can mean months of rework when you discover that the operating distance does not match your enclosure depth, or that the power draw exceeds your thermal budget.

This guide walks through the five OEM iris recognition module families manufactured by HOMSH Technologies. Each module targets a different integration scenario, from USB-connected kiosk peripherals to fully self-contained embedded processors with onboard template storage. We will cover the specifications that matter most to hardware engineers and product managers, provide a side-by-side comparison table, and close with a practical integration checklist that applies regardless of which module you select.

What to Look for in an OEM Iris Module

Before comparing individual modules, it helps to establish the evaluation criteria that matter most in OEM integration. Seven parameters consistently determine whether a module fits a given product design: image resolution, communication interface, power consumption, physical dimensions, recognition speed, liveness detection capability, and user capacity. Each parameter involves trade-offs that depend on your specific deployment context.

Image resolution directly affects recognition accuracy. The industry baseline for iris recognition is 640x480 pixels, which captures sufficient iris texture detail for reliable one-to-many matching against databases of thousands of enrolled users. Higher resolutions exist but increase data throughput requirements and processing time without proportional accuracy gains for databases under 100,000 users. All HOMSH modules operate at 640x480, which aligns with ISO/IEC 19794-6 iris image standards and keeps processing requirements manageable for embedded host processors.

Communication interface determines how the module connects to your host system. USB 2.0 is the simplest to integrate -- it provides both data transfer and power delivery over a single cable, and every operating system includes native USB host drivers. I2C offers lower latency and tighter integration with microcontroller-based systems where USB host support may not be available, but requires more careful signal integrity management over longer cable runs. Some modules offer both interfaces simultaneously, giving your product flexibility to support different deployment configurations.

Power consumption ranges from under 3W to 5W across the module families covered in this guide. For mains-powered devices like wall-mounted access panels and kiosks, this range is inconsequential. For battery-powered or PoE-powered devices, the difference between 3.2W and 5W can determine whether you need a larger battery or a higher-wattage PoE injector. Consider not just the steady-state power draw but also the inrush current during the near-infrared illuminator activation.

Physical dimensions and weight constrain your enclosure design. A module that is 80mm deep may not fit behind a flush-mount wall panel. A module weighing 117g may be too heavy for a handheld device. Conversely, extremely compact modules may sacrifice operating distance range, requiring users to position their eyes more precisely. Recognition speed and liveness detection are equally critical: sub-1-second recognition is the threshold for a smooth user experience, and active near-infrared liveness detection is mandatory in any security-grade deployment. Finally, user capacity -- the number of iris templates the module can store and match against -- determines whether you need a host-side database or can rely on the module's internal storage.

HOMSH MC20 Series -- The Versatile USB Module

The MC20 series is HOMSH's most widely deployed OEM module family, and for good reason: it combines a straightforward USB 2.0 interface with a compact 52-gram form factor, making it the default choice for any device that has a USB host port and mains power. The module captures iris images at 640x480 resolution and completes recognition in approximately one second, which is fast enough for walk-up kiosk and access control scenarios where users pause briefly in front of the sensor.

What distinguishes the MC20 series from competing USB iris modules is its tiered capacity variants. The MC20-500, MC20-1000, MC20-2000, MC20-5000, and MC20-10000 share identical optics and housing but differ in their onboard template storage. The MC20-500 stores up to 500 enrolled iris templates, suitable for a small office door lock. The MC20-10000 stores up to 10,000 templates, suitable for a factory entrance serving multiple shifts. This tiered approach lets you select exactly the capacity you need, avoiding the cost of paying for storage you will not use while preserving the option to upgrade later by swapping the module without changing your enclosure or wiring.

The MC20 operates at 330-400mm distance between the user's eyes and the sensor, which is comfortable for standing users at a wall-mounted terminal or kiosk. Operating temperature ranges from -10 to 55 degrees Celsius, with humidity tolerance up to 93% RH (non-condensing). Typical deployment scenarios include self-service banking kiosks, gate turnstiles at corporate campuses, visitor management terminals in lobbies, and time-and-attendance stations on factory floors. The USB interface means integration requires nothing more than connecting the module to your host SBC or industrial PC and loading the HOMSH SDK.

HOMSH MI30 -- Compact I2C Module for Embedded Systems

The MI30 targets device manufacturers working with microcontroller-based platforms where USB host support is either unavailable or undesirable. Its I2C interface connects directly to the I2C bus of ARM Cortex-M or similar microcontrollers, enabling tight integration without the overhead of a USB host stack. At just 68x26x23mm, the MI30 is one of the most compact iris recognition modules on the market, fitting behind narrow bezels and inside handheld enclosures that would not accommodate larger module families.

The MI30 uses an 850nm near-infrared imaging band, which provides strong iris texture contrast across a wide range of iris pigmentation levels -- from light blue to dark brown. Image resolution remains at the standard 640x480 pixels. Power consumption is 3.2W, making it the most power-efficient module in the HOMSH lineup. This low power draw is particularly valuable for battery-operated devices, solar-powered field stations, and any deployment where thermal dissipation is constrained.

Operating temperature range matches the rest of the HOMSH family at -10 to 55 degrees Celsius. The MI30's compact dimensions and I2C interface make it the natural choice for IoT-class devices, embedded access control boards, portable biometric enrollment terminals, and smart lock mechanisms where space and power are at a premium. Integration requires connecting the I2C SDA and SCL lines along with the power supply, then communicating via the HOMSH I2C protocol documented in the SDK.

HOMSH MD20 -- Built for Harsh Environments

The MD20 is engineered for deployments where ambient lighting and environmental conditions challenge conventional iris scanners. Its standout specification is the 0-6000 Lux working illumination range, which means it operates reliably in direct sunlight as well as complete darkness. Most competing modules struggle above 2000 Lux because ambient infrared radiation interferes with the near-infrared illuminator. The MD20 overcomes this with a 700-900nm broadband imaging filter and adaptive exposure control that maintains iris image quality across the full illumination range.

Weighing just 68 grams, the MD20 is light enough for portable and semi-permanent outdoor installations. It supports both single-eye and dual-eye recognition modes. Single-eye mode is faster and works well for cooperative users who can align one eye with the sensor. Dual-eye mode captures both irises simultaneously, providing higher security through two-factor biometric verification in a single capture event. Switching between modes is a software configuration change, not a hardware modification.

The MD20 operates from -10 to 55 degrees Celsius with humidity tolerance up to 93% RH. This environmental resilience makes it suitable for outdoor gate systems at mining sites, construction site access points, agricultural facility entry, parking garage pedestrian gates, and any deployment where the module is exposed to temperature swings, dust, and moisture. When paired with an IP65 or IP67 rated enclosure designed around the MD20's mounting dimensions, the assembly can withstand rain and washdown conditions.

HOMSH MD30 -- Self-Contained Module with Onboard Storage

The MD30 occupies a unique position in the HOMSH module lineup: it is the only module with a built-in algorithm processor and 10,000-person internal template storage. This means the MD30 can operate as a fully standalone biometric engine -- capturing iris images, extracting templates, matching against its internal database, and returning a pass/fail result -- without requiring any host-side biometric processing. For device manufacturers who want to add iris authentication without building or licensing a biometric matching pipeline, the MD30 eliminates an entire layer of software complexity.

The module measures 80x40x30mm and weighs 55 grams, with power consumption of 5W. It provides both I2C and USB interfaces, giving integrators the flexibility to use whichever bus their host platform supports. The operating distance of 300-500mm is wider than the MC20's range, which accommodates more variation in user height and standing distance. This wider capture zone reduces the need for precise user positioning and speeds up the recognition process in high-traffic environments.

A distinctive feature of the MD30 is its built-in Arduino algorithm support. This allows rapid prototyping using Arduino-compatible development boards, dramatically shortening the evaluation and proof-of-concept phase. Hardware engineers can have a working iris authentication demo in hours rather than weeks. Production deployments can then migrate to a more capable host processor while maintaining the same MD30 module and command protocol. Ideal applications include standalone door controllers, turnstile systems, locker management, and any product where the manufacturer wants biometric intelligence at the edge without cloud connectivity dependencies.

HOMSH MC21 -- High-Speed Dual-Camera Module

The MC21 is HOMSH's performance-tier module, built around a dual-camera architecture that captures both irises simultaneously. The dual-camera design delivers two critical advantages: it halves the per-user throughput time because both irises are enrolled and recognized in a single capture event, and it provides inherently higher security by matching two independent biometric templates. Enrollment completes in 0.7 seconds and recognition in 0.9 seconds, making the MC21 the fastest module in the HOMSH lineup.

The module measures 146x58x51mm and weighs 117 grams, making it the largest and heaviest module in the HOMSH range. This size is a deliberate trade-off for the dual-camera optical path, which requires wider sensor spacing to capture both eyes at the 145-155mm operating distance. The narrow operating distance window (just 10mm of depth variation) means the MC21 is best suited for fixed-mount installations where a chin rest, position guide, or distance indicator helps users place their eyes at the correct distance. This is standard practice in high-security enrollment stations and identity verification booths.

High-throughput scenarios are where the MC21 excels: airport check-in counters processing hundreds of passengers per hour, stadium entry gates handling event-day surges, factory shift changes where hundreds of workers clock in within a 15-minute window, and government identity enrollment centers where operators process applicants back-to-back. The sub-1-second recognition time means the module itself is never the bottleneck -- the limiting factor becomes the mechanical gate or turnstile cycling speed. For system integrators building these high-volume deployments, the MC21's speed premium pays for itself through reduced queue times and higher customer satisfaction.

Module Comparison Table

The table below summarizes the key specifications across all five HOMSH OEM iris recognition module families. Use it as a quick reference when narrowing down your module selection. Each column links to the corresponding product page for full datasheets and ordering information.

"--" indicates the specification was not published for that module. Visit each product page for the complete datasheet.

Integration Guide

Regardless of which HOMSH module you select, the integration process follows four phases: mechanical mounting, electrical connection, software integration, and validation testing. Completing these phases methodically avoids the most common integration pitfalls and shortens your time to production.

Mechanical Mounting

Every HOMSH module includes mounting holes or brackets compatible with M2 or M3 screws. The critical mechanical parameter is the optical axis alignment: the module's lens must be centered on the expected eye position of your target user population. For wall-mounted devices, this typically means the lens center sits 1400-1600mm from the floor, adjustable via a tilting bracket to accommodate different heights. For tabletop devices, the module angle should be 15-30 degrees from horizontal. Ensure that the enclosure window in front of the module uses IR-transparent material -- standard glass and acrylic block near-infrared light. Use optical-grade polycarbonate or dedicated NIR-pass windows.

Electrical Interface

For USB modules (MC20, MC21), connection is a standard USB 2.0 Type-A or Type-C cable. Ensure your host USB port can supply at least 500mA at 5V. For I2C modules (MI30, MD30), connect SDA and SCL lines with appropriate pull-up resistors (typically 4.7k ohm for 100kHz standard mode or 2.2k ohm for 400kHz fast mode). Keep I2C cable length under 50cm to maintain signal integrity. The MD30 supports both I2C and USB simultaneously, allowing you to use USB for firmware updates and I2C for runtime communication. All modules require a stable, low-noise power supply. Add a 100uF bulk capacitor and a 100nF bypass capacitor at the module power input to suppress the inrush current when the NIR illuminator fires.

SDK and API Integration

The HOMSH SDK provides a C/C++ API with four core functions: initialize, enroll, recognize, and delete. The initialize function detects the connected module, confirms firmware compatibility, and prepares the imaging pipeline. Enrollment captures one or both irises (depending on module and mode), extracts a template, and stores it either on the module (MD30) or returns it to the host for database storage. Recognition captures a live iris image, extracts a probe template, and matches it against enrolled templates, returning a match score and user ID. The SDK also exposes lower-level functions for image capture, quality assessment, and template export/import for advanced integrators who want to implement custom matching logic. Android and Linux SDKs follow the same API structure with platform-appropriate bindings.

Validation and Testing

Before production, validate three metrics: False Accept Rate (FAR), False Reject Rate (FRR), and throughput under load. Enroll at least 50 test subjects across a range of iris colors, eyeglass types, and ambient lighting conditions. Run each subject through 10 recognition attempts and log the results. Target FAR below 0.001% and FRR below 1% for commercial deployments. For throughput testing, simulate your peak usage scenario -- for example, 200 recognition attempts in 15 minutes -- and measure whether the module sustains its specified recognition speed without thermal throttling. Document these results as part of your product certification package. For questions about testing methodology or module selection, reach out via the contact page.

Frequently Asked Questions

Below are answers to the most common questions from OEM customers evaluating HOMSH iris recognition modules. For additional questions, visit our FAQ page or contact our engineering team.

Conclusion

Selecting the right OEM iris recognition module is a foundational decision that shapes your product's user experience, security posture, and manufacturing cost. The HOMSH module lineup offers a clear decision tree: the MC20 series for general-purpose USB integration with scalable capacity, the MI30 for space-constrained I2C embedded systems, the MD20 for outdoor and high-illumination environments, the MD30 for standalone edge deployments with onboard storage, and the MC21 for high-throughput dual-iris verification.

Whichever module fits your requirements, HOMSH provides engineering support throughout the integration process -- from initial evaluation samples through production-scale procurement. The comparison table and integration guide above give you the technical foundation to begin your evaluation. The next step is to review the detailed datasheets for your shortlisted modules and request evaluation samples.