MV-SC5050XM-08M-WBN
HIKROBOT
2432 × 2048
Gigabit Ethernet(1000Mbit/s)
Mono
3.45 μm × 3.45 μm
60 fps
M12-Mount, mechanical focus adjustable
Availability: | |
---|---|
Quantity: | |
Key Feature
This black and white smart camera integrates high-performance image processing chips and AI deep learning algorithms, and is designed for industrial inspection and automated identification applications. Compared with traditional cameras, black and white images have more advantages in contrast and detail recognition, especially for high-precision scenarios such as surface defect detection, character recognition, and contour edge analysis.
Built-in VM algorithm platform, supports more than 140 visual algorithms, can independently complete inspection tasks without an external industrial computer, greatly simplifying the system architecture. Rich I/O interfaces can flexibly connect sensors, light sources, PLCs and other peripherals to meet the needs of complex production line linkage.
Widely used in electronic manufacturing, packaging inspection, automotive parts quality inspection and other fields, it is an ideal choice for creating intelligent production lines and efficient quality control.
Dimension
Key Feature
This black and white smart camera integrates high-performance image processing chips and AI deep learning algorithms, and is designed for industrial inspection and automated identification applications. Compared with traditional cameras, black and white images have more advantages in contrast and detail recognition, especially for high-precision scenarios such as surface defect detection, character recognition, and contour edge analysis.
Built-in VM algorithm platform, supports more than 140 visual algorithms, can independently complete inspection tasks without an external industrial computer, greatly simplifying the system architecture. Rich I/O interfaces can flexibly connect sensors, light sources, PLCs and other peripherals to meet the needs of complex production line linkage.
Widely used in electronic manufacturing, packaging inspection, automotive parts quality inspection and other fields, it is an ideal choice for creating intelligent production lines and efficient quality control.
Dimension
model | Model | MV-SC5050XM-08M-WBN |
Name | 8mm lens 5 megapixel monochrome SC5000X smart camera | |
tool | Functional module | VisionMaster algorithm development platform (including deep learning module) |
Communication protocol | TCP, UDP, ModBus, serial port, PROFINET, EtherNet/IP, Fins, MC, FTP, etc. | |
camera | Sensor type | CMOS, global shutter |
Pixel size | 3.45 μm × 3.45 μm | |
Target size | 1/1.45" | |
Resolution | 2432 × 2048 | |
Maximum acquisition frame rate | 60 fps | |
Gain | 0 dB ~ 37 dB | |
Exposure time | 15 μs ~ 3000 μs | |
Pixel format | Mono 8 | |
Black and white/color | Black and white | |
platform | Memory | 8 GB |
storage | 64 GB | |
Electrical Characteristics | Data Interface | Gigabit Ethernet (1000Mbit/s) |
Digital I/O | 12-pin M12 connector provides power and I/O, including 3 optocoupler isolated inputs (Line0/1/2), 3 optocoupler isolated outputs (Line3/4/5), 1 RS-232 | |
powered by | 24 VDC | |
Power consumption | Typical power consumption: 10 W@24 VDC | |
Maximum power consumption: 12.9 W@24 VDC | ||
structure | Focal length | 8 mm |
Lens interface | M12-Mount, mechanical focus adjustment | |
Lens cover | Semi-polarized lens hood, transparent, fully polarized, diffuse lens hood optional | |
Light source | White light source, red, blue or infrared optional | |
Indicator light | Power indicator PWR, network indicator LNK, user indicator U1/U2 | |
Dimensions | Straight angle: 112.3 mm × 54 mm × 60.2 mm | |
Right angle: 88.7 mm × 54 mm × 82.5 mm | ||
Weight | About 370 g | |
IP protection level | IP67 | |
Temperature | Operating temperature 0 ~ 50°C, storage temperature -30 ~ 70°C | |
Humidity | 20% ~ 95%RH non-condensing | |
Additional Information | Certification | CE, KC |
model | Model | MV-SC5050XM-08M-WBN |
Name | 8mm lens 5 megapixel monochrome SC5000X smart camera | |
tool | Functional module | VisionMaster algorithm development platform (including deep learning module) |
Communication protocol | TCP, UDP, ModBus, serial port, PROFINET, EtherNet/IP, Fins, MC, FTP, etc. | |
camera | Sensor type | CMOS, global shutter |
Pixel size | 3.45 μm × 3.45 μm | |
Target size | 1/1.45" | |
Resolution | 2432 × 2048 | |
Maximum acquisition frame rate | 60 fps | |
Gain | 0 dB ~ 37 dB | |
Exposure time | 15 μs ~ 3000 μs | |
Pixel format | Mono 8 | |
Black and white/color | Black and white | |
platform | Memory | 8 GB |
storage | 64 GB | |
Electrical Characteristics | Data Interface | Gigabit Ethernet (1000Mbit/s) |
Digital I/O | 12-pin M12 connector provides power and I/O, including 3 optocoupler isolated inputs (Line0/1/2), 3 optocoupler isolated outputs (Line3/4/5), 1 RS-232 | |
powered by | 24 VDC | |
Power consumption | Typical power consumption: 10 W@24 VDC | |
Maximum power consumption: 12.9 W@24 VDC | ||
structure | Focal length | 8 mm |
Lens interface | M12-Mount, mechanical focus adjustment | |
Lens cover | Semi-polarized lens hood, transparent, fully polarized, diffuse lens hood optional | |
Light source | White light source, red, blue or infrared optional | |
Indicator light | Power indicator PWR, network indicator LNK, user indicator U1/U2 | |
Dimensions | Straight angle: 112.3 mm × 54 mm × 60.2 mm | |
Right angle: 88.7 mm × 54 mm × 82.5 mm | ||
Weight | About 370 g | |
IP protection level | IP67 | |
Temperature | Operating temperature 0 ~ 50°C, storage temperature -30 ~ 70°C | |
Humidity | 20% ~ 95%RH non-condensing | |
Additional Information | Certification | CE, KC |