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ESP32 GC0308 Camera Module 640x488 VGA Machine Vision
Dettagli:
| Luogo di origine: | Cina |
| Marca: | Sinoseen |
| Certificazione: | RoHS、ISO9001、CE |
| Numero di modello: | XLS11726-V1.1 |
Termini di pagamento e spedizione:
| Quantità di ordine minimo: | 5 |
|---|---|
| Prezzo: | 10-100 usd or negotiable |
| Imballaggi particolari: | Tavolo+Bassa antistatica in cartone |
| Tempi di consegna: | 2-3week |
| Termini di pagamento: | T/T |
| Capacità di alimentazione: | 500000 pezzi/mese |
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Informazioni dettagliate |
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| Tipo: | Modulo fotocamera ESP32 | Sensore: | GC0308 |
|---|---|---|---|
| Risoluzione: | 640H x 488V | Dimensioni: | 38mmx38mm (compatibile con 32mmx32mm) |
| Evidenziare: | Motion Detection Raspberry Pi Camera Module,Barcode Recognition Raspberry Pi Camera Module,High Performance Raspberry Pi Camera Module |
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Descrizione di prodotto
ESP32 GC0308 Camera Module 640x488 VGA for Machine Vision
Product Specifications
| Attribute | Value |
|---|---|
| Type | ESP32 Camera Module |
| Sensor | GC0308 |
| Resolution | 640H x 488V |
| Dimensions | 38mmx38mm (compatible With 32mmx32mm) |
| Highlights | ESP32 Camera Module, Machine Vision GC0308 Camera Module |
Product Overview
The advanced GC0308 CMOS image sensor is designed for compact, high-performance imaging applications. It features a standard optical size of 1/6.5 inches and delivers VGA resolution output (640x488). This sensor excels in various applications including motion detection and barcode recognition.
The GC0308 sensor provides stable image output and is ideal for integration into embedded systems like ESP32 camera modules. Its compact 38mmx38mm design (compatible with 32mmx32mm mounting) makes it easy to incorporate into various devices for machine vision and intelligent recognition tasks.
Key Features
- Compact 1/6.5-inch optical size for space-constrained applications
- VGA resolution (640x488) for clear image output
- Optimized for motion detection applications
- Barcode recognition capability for efficient scanning tasks
- Versatile compatibility with ESP32 and other machine vision projects
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