COMECAUSE IN-DM Rice Appearance Quality Analyzer
| Brand | COMECAUSE |
|---|---|
| Origin | Shandong, China |
| Manufacturer Type | Direct Manufacturer |
| Country of Origin | China |
| Model | IN-DM |
| Price | USD 2,100 (approx.) |
Overview
The COMECAUSE IN-DM Rice Appearance Quality Analyzer is a high-precision, image-based analytical instrument engineered for objective, standardized assessment of rice grain morphology and surface characteristics. It operates on the principle of high-resolution digital imaging combined with advanced computer vision algorithms—specifically calibrated for rice grain segmentation, feature extraction, and statistical classification in accordance with national and industry standards. Designed for seed testing laboratories, grain quality control centers, agricultural research institutes, and rice breeding programs, the IN-DM delivers quantitative, repeatable measurements of physical attributes critical to grading, varietal identification, processing suitability, and market compliance. Its dual-illumination A4+ scanning platform ensures uniform lighting conditions for both reflective and transmissive imaging—enabling accurate detection of translucency, chalkiness, color deviation, and surface defects without manual intervention.
Key Features
- High-fidelity optical imaging system: 4800 × 9600 dpi resolution A4+ dual-source color scanner with 30 cm × 20 cm transmission scan area and pixel size down to 5.3 µm × 2.6 µm
- Comprehensive parameter quantification per grain: area, length, width, length-to-width ratio, equivalent diameter, roundness, with measurement repeatability ≤ ±0.02 for ratios and ≤ ±0.05 mm for linear dimensions
- Automated multi-index analysis compliant with Chinese national and agricultural standards including GB/T 1350, GB/T 17891, GB 1354–2018, NY/T 2334–2013, LS/T 6116–2016, LS/T 3247–2017, and GB/T 35881–2018
- Integrated classification engine supporting automatic separation of adhered grains and adaptive recognition of morphological variants (e.g., broken kernels, immature grains, discolored or diseased specimens)
- Cloud-enabled data architecture: secure upload, remote access, and long-term archival of raw images, annotated overlays, distribution histograms, and Excel-exportable result tables
- Hardware interoperability: RS232 interface for integration with analytical balances; barcode reader support for sample traceability; screen recording functionality for method validation and audit readiness
Sample Compatibility & Compliance
The IN-DM supports quantitative analysis across diverse rice types—including polished rice, brown rice, glutinous rice, black rice, and specialty cultivars—with particle size compatibility ranging from 0.25 mm to 20 mm. It achieves ≥99% automated counting accuracy (upgradable to 100% via interactive correction) and meets the metrological requirements defined in NY/T 832–2004 for black rice evaluation. All reported metrics—including chalkiness degree, head rice percentage, broken rice ratio, yellow grain count, whiteness index (CIE L*a*b* derived), transparency grade, and germ viability rate in brown rice—are traceable to documented reference methods. The system’s measurement uncertainty profiles align with ISO/IEC 17025–2017 principles for testing laboratories, and its software architecture accommodates GLP-compliant workflow logging when deployed in regulated environments.
Software & Data Management
The proprietary Windows-based application provides full control over acquisition, preprocessing, segmentation, feature extraction, and reporting. Image processing modules include adaptive thresholding, morphological filtering, convex hull approximation, and centroid-based spatial mapping. Each analysis session generates timestamped metadata logs—including operator ID, calibration status, environmental conditions (ambient temperature/humidity input), and instrument configuration—supporting 21 CFR Part 11–aligned audit trails when configured with electronic signature modules. Output formats include annotated TIFF/PNG overlays, binned frequency distributions (by length, width, area), cumulative percentile plots, and pivot-ready CSV/Excel files. Cloud synchronization enables centralized database management across multi-site operations, with role-based access controls and versioned dataset archiving.
Applications
- Grain quality certification per GB 1354–2018 and export regulatory frameworks
- Rice variety authentication and purity testing in seed certification programs
- Breeding program phenotyping: selection of lines with improved milling yield, chalk resistance, or kernel uniformity
- Post-harvest quality monitoring in storage and logistics facilities
- Research on starch granule distribution, endosperm opacity mechanisms, and thermal processing effects on grain integrity
- Regulatory inspection workflows requiring documented, reproducible image-based evidence
FAQ
What standards does the IN-DM comply with for rice quality assessment?
It fully implements GB/T 1350, GB/T 17891, GB 1354–2018, NY/T 2334–2013, LS/T 6116–2016, LS/T 3247–2017, GB/T 35881–2018, and NY/T 832–2004.
Can the system analyze mixed rice samples or detect adulteration?
Yes—it performs unsupervised clustering based on morphometric and chromatic features, enabling identification of foreign varieties or non-rice contaminants within heterogeneous batches.
Is calibration required before each use?
A one-time geometric calibration is performed during installation; routine verification uses NIST-traceable reference grains provided with the system.
How is data integrity ensured during cloud transfer?
All uploads are encrypted via TLS 1.2+, and local databases maintain SHA-256 checksums for every image and result file to prevent tampering or corruption.
What environmental conditions are recommended for optimal operation?
Ambient temperature: 10–30 °C; relative humidity ≤85%; stable vibration-free surface; 220 V ±10%, 50 Hz power supply; avoidance of direct sunlight or strong ambient light interference.
