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Agricultural Machine Vision Camera SolutionMV-GEC2100C 21MP GigE Industrial Camera

Agricultural Machine Vision Camera SolutionMV-GEC2100C 21MP GigE Industrial Camera

2026-02-09 09:37

As smart agriculture and automated agricultural processing continue to evolve, machine vision has become a critical technology for crop inspection, grading, and quality control.
The MV-GEC2100C GigE industrial camera delivers high-resolution imaging, long-distance stable transmission, and industrial-grade reliability, making it an ideal imaging solution for agricultural machine vision systems.

High-Resolution Imaging for Agricultural Inspection

The MV-GEC2100C is equipped with a 21-megapixel CMOS sensor with a maximum resolution of 5280 × 3956 pixels, enabling precise capture of surface details, color variations, and structural features of agricultural products.

It is well suited for:

  • Fruit and vegetable surface defect detection

  • Bruise, rot, and blemish inspection

  • Color-based ripeness and maturity analysis

  • Size and shape measurement for grading systems

High image fidelity ensures consistent and reliable input for agricultural vision algorithms.


GigE Vision Interface for Long-Distance and Stable Transmission

Based on the GigE Vision standard, the MV-GEC2100C supports stable image transmission up to 100 meters, making it ideal for large agricultural sorting lines and distributed inspection stations.

The built-in packet resend mechanism ensures reliable data delivery, minimizing frame loss even in complex network environments—critical for continuous agricultural production lines.

Multi-Camera Networking for Agricultural Sorting Systems

Modern agricultural inspection systems often require multi-angle and multi-station imaging.
The MV-GEC2100C supports simultaneous operation of multiple cameras without limitation, allowing flexible system architectures such as:

  • Multi-view fruit and vegetable inspection

  • Front-and-back surface imaging

  • Parallel grading and classification lines

This scalability makes it suitable for high-throughput agricultural sorting and processing equipment.

Flexible Triggering and I/O for Automation Integration

The camera supports continuous, software, and hardware trigger modes, along with optically isolated GPIO interfaces for precise synchronization with:

  • Conveyor encoders

  • Sorting actuators

Strobe and lighting systems

This ensures accurate image capture timing and stable operation in automated agricultural environments.

Broad Software Compatibility and Easy Integration

The MV-GEC2100C is fully compliant with GigE Vision and GenICam standards, enabling driver-free integration with leading machine vision software platforms such as:

  • Halcon

  • VisionPro

  • LabVIEW

A comprehensive SDK is available for Windows, Linux, ARM Linux, macOS, and Android, significantly reducing development time for agricultural equipment manufacturers and system integrators.

Industrial-Grade Design for Agricultural Environments

Designed for continuous industrial operation, the MV-GEC2100C features:

  • Robust aluminum housing with passive cooling

  • Low power consumption (~3W)

  • Compact form factor for easy system integration

The camera operates reliably in temperatures from 0°C to 50°C, making it suitable for agricultural processing facilities, sorting centers, and research environments.

Typical Agricultural Machine Vision Applications

The MV-GEC2100C is widely used in:

  • Fruit and vegetable grading and sorting

  • Agricultural product appearance inspection

  • Crop size and shape measurement

  • Automated agricultural processing lines

  • Agricultural research and smart farming systems

A Reliable Camera for Agricultural Machine Vision Systems

With its combination of high-resolution imaging, stable GigE transmission, and excellent software compatibility, the MV-GEC2100C is a reliable choice for agricultural machine vision inspection and automation solutions.


You may contact us at chenguo@mindvision.com.cn to gain more in-depth technical insights and practical applications in the fields of machine vision and optical imaging.

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