Умная классификация мусора в электрической автоматической металлической мусорной
- Категория: Other Environmental Products >>>
- Поставщик: Hangzhou,Daohuozhe,Technology,Co.,Ltd.
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Описание и отзывы
Трекер стоимости
| Месяц | Минимальная цена | Макс. стоимость |
|---|---|---|
| Sep-19-2025 | 0.60 $* | 0.40 $* |
| Aug-19-2025 | 0.61 $* | 0.72 $* |
| Jul-19-2025 | 0.44 $* | 0.70 $* |
| Jun-19-2025 | 0.97 $* | 0.71 $* |
| May-19-2025 | 0.32 $* | 0.97 $* |
| Apr-19-2025 | 0.46 $* | 0.94 $* |
| Mar-19-2025 | 0.22 $* | 0.17 $* |
| Feb-19-2025 | 0.60 $* | 0.63 $* |
| Jan-19-2025 | 0.67 $* | 0.8 $* |
Характеристики
Hangzhou Torch Bearer Technology Co., Ltd. provides a system solution with a micro duplex spectrometer as the core sensor, which is applied to artificial intelligence garbage identification and classification, including sensor manufacturing, artificial intelligence identification algorithm and corresponding software and hardware support.
The artificial intelligence garbage identification and classification equipment upgrades the traditional manual classification and supervision mode to an automatic and information-based intelligent management mode, improves the efficiency of front-end garbage classification, reduces the corresponding labor costs and waste post-processing costs, and facilitate users’ experience.
The existing traditional camera-based machine vision solutions face the problems of excessive training sample demand and low recognition success rate. The recognition success rate has been maintained below 50% and cannnot get a breakthrough for a long time.
The basic principle of this scheme is to classify and identify different types of garbage based on the characteristic spectrum of Vis-NIR band exhibited by different substances, and the correct rate of real-time judgment of garbage disposal behavior reaches 98%.
Measuring Parameters | ||||||||
Model Number | DHZ- AIG02A | |||||||
Sensor | ||||||||
Detector | CMOS (facial) | |||||||
Spatial resolution | 640*480 | |||||||
Spectral application range | 360-950nm | |||||||
Number of channels | 10 | |||||||
Dark noise | 8 counts | |||||||
Field of View | 90°*90° | |||||||
Capture rate | 10 frames | |||||||
Core chip | ||||||||
CPU | 4 core ARM Cortex-A7 | |||||||
NPU | 2.0Tops, support INT8/ INT16 | |||||||
Data Storage | 32bit DDR3/DDR3L/LPDDR3/DDR4/LPDDR4 | |||||||
Identify frame rate | 4 frames | |||||||
Power system | ||||||||
Working Voltage | DC 12V | |||||||
interface | Ethernet interface | |||||||
Working temperature | -40℃~70℃ | |||||||
Working humidity | ＜100% | |||||||
Storage temperature | -50℃~80℃ | |||||||
Storage humidity | ＜105% | |||||||
Windows SDK | Yes | |||||||
Power consumption | 8W MAX/25W | |||||||
Dimension | 308x200x46 mm | |||||||
Weight | 900g | |||||||
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