Parameter
AZC Series
|
Product model |
Machine Weight |
Machine Output (kg) |
Machine Power |
Machine Output ratio
|
Color Selection Accuracy |
Minimum Resolution |
Dimension |
Machine Voltage |
|
AZC1 |
600 |
600 |
1.5 |
≥10：1 |
＞99.99% |
0.01 |
75×162×155 |
AC220V/50HZ |
AT-Su Series
|
Product model |
Machine Weight |
Machine Output (kg) |
Machine Power |
Machine Output ratio
|
Color Selection Accuracy |
Minimum Resolution |
Dimension |
Machine Voltage |
|
AT2Su |
600 |
1200 |
1.5 |
≥10：1 |
＞99.99% |
0.01 |
250×131×150 |
AC220V/50HZ |
|
AT4Su |
800 |
1400 |
1.5 |
≥10：1 |
＞99.99% |
0.01 |
270×140×165 |
AC220V/50HZ |
|
AT6Su |
1000 |
1600 |
2.0 |
≥10：1 |
＞99.99% |
0.01 |
290×131×164 |
AC220V/50HZ |
|
AT8Su |
1200 |
2000 |
2.5 |
≥10：1 |
＞99.99% |
0.01 |
300×150×170 |
AC220V/50HZ |
AZM Series
|
Product model |
Machine Weight |
Machine Output (kg) |
Machine Power |
Machine Output ratio
|
Color Selection Accuracy |
Minimum Resolution |
Dimension |
Machine Voltage |
|
AZM300M |
200 |
400 |
0.3 |
≥10：1 |
＞99.99% |
0.01 |
150×88×124 |
AC220V/50HZ |
Feature
|
● Window style human-machine dialogue, simple and flexible operation. |
|
● It can still operate reliably through collaborative work of various parts in complex production environments. |
|
● Through in-depth analysis of historical data, achieve refined production management. |
|
● The color sorter adopts a high-resolution color CCD image sensor. |
AI System with Deep Learning Capabilities
AI system with deep learning capabilities can automatically identify different characteristics of materials for precision screening.
Remote Desktop
When the remote control sends instructions, the instructions will be transmitted through the network to the router or gateway device where the color sorter is located, and then forwarded to the sorting machine by the router or gateway device.
Multidimensional Space Scanning
Multidimensional space scanning utilizes advanced image processing algorithms to preprocess, extract features, and classify images.
Image-based Recognition System
The image-based recognition system can extract the shape, size, contour, etc. of materials through edge detection algorithms.
Tomato color sorter is a professional equipment used for tomato sorting. Using high-definition CCD and optical recognition system, tomato images are collected to identify the characteristics of tomato color, shape, size, etc. The image signal obtained by the optical recognition system is converted into computer recognizable data information to quickly determine whether the tomato meets the preset parameter standards. Finally, according to the instructions of the signal processing system, the detected tomatoes that do not meet the standards are separated and processed.
Tomatoes are often spherical, flattened, or elliptical in shape, and different varieties may have size differences. Mature tomatoes are mostly red, with smooth and glossy skin. When selecting tomatoes, you can choose tomatoes with plump fruits, bright colors, smooth and undamaged skin. The use of a tomato color sorter can accurately identify subtle differences in tomatoes, accurately separate tomatoes that do not meet standards, and avoid misjudgments and omissions caused by factors such as visual fatigue in manual screening; The automatic and intelligent screening process can improve screening efficiency, reduce labor costs, and improve product quality.
The color sorter can set the required parameters based on the variety and screening purpose of tomatoes, adapt to the needs of various screening purposes, and is not affected by external factors. It has strong stability and ensures consistent screening quality. Tomato color sorter is an efficient, precise, and easy to operate device that effectively improves product quality and provides convenience for enterprises to produce a variety of products. It also has broad application prospects in the field of agricultural product processing.
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