| Chip type | SC520CS-CRMNN00 |
| EFL | 1.4mm |
| Array size | 2600Hx1960V |
| F/NO | 2.2 |
| AVDD | Typ.2.8V |
| View angle | D115.5°H95°V76 |
| DVDD | Typ.1.2V |
| TV-Distortion | 11% |
| D0VDD | Typ.1.8V |
| Focusing rane | 25cm-INF |
| CRA | 31.9°(lmg90%) |
| Chief Ray Angle | <33.2° |
| Sensor | 0x20(W),0X21(R) |
| COMPOSITION | 4P |
| Pixel Size | 1.12umx1.12um |
| FILETER | 648±5nm |
The Role of Al Recognition Combined withthe RGB Module
By analyzing RGB images through Al algorithms, therobot vacuum cleaner can understand its environment.It doesn't merely sense "obstacles", but can recognizethe contents of the environment, enhancing itsautonomous decision - making and cleaning efficiency.
Application Scenarios
1.0bstacle Recognition and Avoidance Optimization
2.Floor Material Recognition and Cleaning StrategyOptimization
3.0bject Recognition and Intelligent Classification
4.Area Division and Dynamic Cleaning Planning
5.Cleaning Effect Detection
6.User Interaction and Home Safety Monitoring
7.Maintenance Detection and Self-inspection Reminder
8.Pet and Child -friendlyInteraction
