Up to nine dishes per recognition event
The brochure describes recognition of up to nine dishes within one second; actual capacity and accuracy depend on trained samples, placement, lighting and menu variation.

AI vision dining counter | Dual 15.6-inch Android display

The brochure describes recognition of up to nine dishes within one second; actual capacity and accuracy depend on trained samples, placement, lighting and menu variation.
A backlight-resistant 5 MP camera and dedicated vision fill light support image capture for the trained recognition workflow.
Two 15.6-inch 1920 x 1080 displays, RK3568, 2 GB + 16 GB, Ethernet and WiFi support operator and customer views.
The 20 kg unit lists a 13.56 MHz card reader, barcode/QR scanner, binocular live face detection and voice prompts. The brochure's 99.6% statement lacks a disclosed test set and is not a guaranteed rate.

RCY3405 Dining & Food-Safety Device
| Product model | RCY3405 |
|---|---|
| Product name | AI Desktop Vision Smart Dining Counter |
| Vision recognition | AI image visual recognition |
| Product size | 428 x 522 x 1850.5 mm |
| Recognition time | <= 1 s |
| Operating system | Android |
| Screen size | 15.6 inch |
| Screen quantity | Dual screen |
| Resolution | 1920 x 1080 |
| CPU | RK3568 quad-core 64-bit, 2.0 GHz |
| Memory / storage | 2 GB + 16 GB |

RCY3405 Dining & Food-Safety Device
| Network | Ethernet, WiFi |
|---|---|
| External interfaces | USB x1 |
| Card reader | 13.56 MHz, ISO15693 / ISO14443A, approx. 0-15 cm |
| Scanner | High-speed 1D / 2D barcode scanning |
| Lighting | Vision fill light |
| Face recognition | Binocular wide-dynamic camera with live detection |
| AI camera | 5 MP, backlight resistant |
| Voice prompt | Supported |
| Power input | 12 V DC |
| Operating temperature | -20 C to 60 C |
| Storage temperature | -40 C to 85 C |
| Gross weight | 20 kg |

RCY3405 Dining & Food-Safety Device

Project configuration, certification and final specifications are subject to the confirmed quotation and technical agreement.