Compact Industrial Code Reader, 12mm focal length 1.3MP
MV-ID3013PM-12M-WBNAdopts built-in deep learning algorithm to read codes with good robustness.
132 stationary code readers for reliable 1D, 2D and DPM code identification on production and logistics lines. Filter by family and resolution, or use the code type guide below the product list to match reader capabilities to your codes.
Showing 1–48 of 132 results

Adopts built-in deep learning algorithm to read codes with good robustness.

Adopts built-in deep learning algorithm to read codes with good robustness.

Adopts built-in deep learning algorithm to read codes with good robustness.

Adopts built-in deep learning algorithm to read codes with good robustness.

Adopts built-in deep learning algorithm to read codes with good robustness.

Compact design and small in size.

Compact design and small in size.

Compact design and small in size.

Adopts built-in deep learning algorithm to read codes with good robustness.

Built-in deep learning algorithm to read codes with good robustness.

Built-in deep learning algorithm to read codes with good robustness.

Built-in deep learning algorithm to read codes with good robustness.

Built-in deep learning algorithm to read codes with good robustness.

Built-in deep learning algorithm to read codes with good robustness.

Built-in deep learning algorithm to read codes with good robustness.

Built-in deep learning algorithm to read codes with good robustness.

Built-in deep learning algorithm to read codes with good robustness.

Adopts a 12 MP high-performance rolling shutter sensor for high-speed image acquisition and high image quality.

Adopts a 12 MP high-performance rolling shutter sensor for high-speed image acquisition and high image quality.

Adopts a 12 MP high-performance rolling shutter sensor for high-speed image acquisition and high image quality.

Adopts a 12 MP high-performance rolling shutter sensor for high-speed image acquisition and high image quality.

Adopts a 12 MP high-performance rolling shutter sensor for high-speed image acquisition and high image quality.

Adopts a 12 MP high-performance rolling shutter sensor for high-speed image acquisition and high image quality.

Adopts a 12 MP high-performance rolling shutter sensor for high-speed image acquisition and high image quality.

Adopts 6 MP rolling shutter sensor with high performance to provide high-quality images.

Adopts built-in deep learning algorithm to read codes with good robustness.

Adopts built-in deep learning algorithm to read codes with good robustness.

Adopts 6 MP rolling shutter sensor with high performance to provide high-quality images.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts high-robustness algorithm to accurately identify difficult codes, such as stained code, skewed code, low-contrast code, and code on laser-marked metal surfaces.

Adopts built-in deep learning algorithm to read codes with good robustness.

Adopts built-in deep learning algorithm to read codes with good robustness.

Adopts CMOS sensor to acquire image data and provide high-quality image.

Adopts 6 MP rolling shutter sensor with high performance to provide high-quality images.

Adopts CMOS global shutter sensor to provide high quality images.

Adopts built-in deep learning algorithm to read codes with good robustness.
| Code type | Examples | Reading considerations |
|---|---|---|
| 1D barcodes | Code 128, EAN, Code 39 | High contrast labels, wide fields, very high line speeds |
| 2D codes | Data Matrix, QR | Compact, built-in error correction, readable when partly damaged |
| DPM codes | Dot peen or laser marked on metal | Need low-angle or diffuse lighting and higher resolution |
Stationary code readers from HIKROBOT decode 1D barcodes and 2D DataMatrix and QR codes at high line speeds, including low-contrast, damaged and direct part marking (DPM) codes. Rugged IP67 housings and industrial interfaces make them ready for production and logistics lines.
Yes. Deep learning based decoding recovers codes that are scratched, distorted, low contrast or marked directly on metal and plastic parts.
Depending on the model, reading speeds of several meters per second are possible; the maximum reading speed attribute on each product page states the tested value.
Via industrial Ethernet protocols or digital I/O; readers are configured once and then run standalone on the line.
The field of view must cover the code plus the positioning tolerance of the parts, and the code must still span enough pixels to decode. Larger distances therefore need higher resolution or a narrower lens.
Usually yes. Directly marked codes live from surface relief rather than contrast, so low-angle or dome illumination is used to make them visible. Many readers bring suitable integrated lighting for common cases.
Yes. Multiple codes in one image can be read in a single cycle, and the output order and formatting are configurable so the PLC or IT system receives the data in a defined structure.
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