● Ready to weigh once network is connected, convenient and quick deployment
● Data can be stored locally and accessed without internet connection
● Self-built data platform: supports 97% of fruits, vegetables, other fresh products, and bagged recognition, with an accuracy rate of 99%.Recognition can becompleted in 0.1s″
● Deep self-learning to continuously improve recognition accuracy
● One machine with dual use and easy switching
● Equipped with 56mm label printer,125mm/s print speed,Multi-level printing density,Support thermal label, linerless label, thermal receipt paper
● Print nutritional information, various QR codes
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| Technical Specifications | |
| Maximum Capacity | Max=3/6 kg；Max=6/15 kg；Max=15/30 kg |
| Minimum Capacity | Min=20 g；Min=40 g；Min=100 g |
| Number of Division | e=d=1/2 g；e=d=2/5 g；e=d=5/10 g |
| Display | (Standard) Main Display: 15.6-inch capacitive touch screen 1920×1080-pixel screen resolution |
| (Optional) Customer Display: 15.6-inch LED backlight display 1920×1080-pixel screen resolution | |
| Label Paper Width | Max. 60 mm |
| Label Paper Outer Diameter | Max. 120 mm |
| Print Speed | 125 mm/s |
| 1×Micro USB(Debug), 4×USB 2.0, 1×RJ12 Cash drawer 1×RJ45 LAN(10/100M), 1×RJ11 Serial interface | |
| External Interfaces | 1×Audio Microphone 2-in-1 Interface, 1×Power Interface |
| Wireless Connectivity | Wi-Fi, Bluetooth |
| Optional Accessory | AI image recognition camera, 15.6'' non-touch customer display |
| Power Supply | Input: AC 100 V~240 V Output: DC 24 V/2.5 A |
| Dimension(L*W*H) | 399.6 mm×390.3 mm×574.0 mm |
Manual
Label Editor
Drivers
SDK
Leaflet
Utility
