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K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development
€ 72
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Built on the Kendryte K210 AI chip, WonderMV guarantees stable and smooth neural network operations, making it perfect for efficient AI image recognition.
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What Stands Out
Λεπτομέρειες προιόντος
| CPU Model | 210 |
| Connectivity Technology | I2C, Serial |
| Operating System | Linux |
| Processor Brand | Kendryte |
| Compatible Devices | Arduino, Raspberry Pi, Micro, STM32 |
| RAM Memory Technology | LPDDR4 |
| Processor Count | 1 |
| Total Usb Ports | 1 |
| Smart Home Compatibility | Not Smart Home Compatible |
| Brand | LewanSoul |
| Model Name | WonderMV |
| Built-In Media | no |
| Manufacturer | Hiwonder |
| Unit Count | 1.0 Count |
| Included Components | no |
| Item Weight | 0.5 lbs (230 grams) |
Who Should Buy?
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Educators & Students
Ideal for teaching robotics and AI concepts, enabling hands-on learning experiences with coding and hardware integration.
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Hobbyist Developers
Perfect for DIY enthusiasts looking to explore computer vision projects and enhance their robotics skills with open-source tools.
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AI Researchers
Useful for conducting experiments in machine learning and vision applications, providing a flexible platform for innovative research.
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Beginners
May be overwhelming for those with no prior experience in programming or robotics due to its complexity and configuration needs.
ΠΕΡΙΓΡΑΦΗ ΤΟΥ ΠΡΟΪΟΝΤΟΣ
K210 Vision Camera Module for Arduino Raspberry Pi Jetson Nano ESP32, Touch Control Smart AI USB Camera Open Source Robot Maker Python Development Board CanMV Sensor - WonderMV
Ερωτήσεις & Απαντήσεις Πελατών
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ερώτηση:
What types of recognition can WonderMV perform?
απάντηση: WonderMV can perform color recognition, face recognition, road sign recognition, QR code and barcode recognition, among others. -
ερώτηση:
How do I interface WonderMV with my existing controller?
απάντηση: WonderMV comes with serial and I2C ports for easy connection to various controllers such as Arduino and Raspberry Pi. -
ερώτηση:
Is the software for WonderMV easy to modify?
απάντηση: Yes, the code is fully open-source, allowing users to easily develop and customize their AI vision applications.
LewanSoul Single Board Computers Editorial Review
Customer Reviews & Ratings
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5 αστέρι
100%
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4 αστέρι
0%
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3 αστέρι
0%
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2 αστέρι
0%
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1 αστέρι
0%
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Πλεονεκτήματα
- Good image quality
- Compatible with multiple platforms
- Easy to set up
- Flexible for AI projects
Μειονεκτήματα
- Some users find the instructions unclear.
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Product Price History
Σημαντικές πληροφορίες
- Περιορισμοί : Για προϊόντα που αποστέλλονται διεθνώς, σημειώστε ότι τυχόν εγγύηση του κατασκευαστή ενδέχεται να μην είναι έγκυρη, οι επιλογές εξυπηρέτησης του κατασκευαστή ενδέχεται να μην είναι διαθέσιμες, τα εγχειρίδια, οι οδηγίες και οι προειδοποιήσεις ασφαλείας του προϊόντος ενδέχεται να μην είναι στη γλώσσα της χώρας προορισμού, τα προϊόντα (και τα συνοδευτικά υλικά) ενδέχεται να μην είναι σχεδιασμένα σύμφωνα με τα πρότυπα, τις προδιαγραφές και τις απαιτήσεις επισήμανσης της χώρας προορισμού και τα προϊόντα ενδέχεται να μην συμμορφώνονται με την τάση και άλλα ηλεκτρικά πρότυπα της χώρας προορισμού (απαιτώντας τη χρήση προσαρμογέα ή μετατροπέα, εάν χρειάζεται). Ο παραλήπτης είναι υπεύθυνος να διασφαλίσει ότι το προϊόν μπορεί να εισαχθεί νόμιμα στη χώρα προορισμού. Όταν παραγγέλνετε από το Ubuy ή τις θυγατρικές της, ο παραλήπτης είναι ο εισαγωγέας αρχείου και πρέπει να συμμορφώνεται με όλους τους νόμους και τους κανονισμούς της χώρας προορισμού.
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€ 72
Παραγγείλτε τώρα και πάρτε το περίπου: Παρασκευή, Αύγουστος 21
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Χαρακτηριστικά & Πλεονεκτήματα
- High-performance camera module powered by Kendryte K210 AI chip.
- Supports various AI functionalities including color, face, and tag recognition.
- Features a 2-inch LCD capacitive touch screen for easy control and debugging.
- Fully open-source code for customizable vision-based applications.
- Compatible with popular controllers like Arduino and Raspberry Pi.
- Ideal for developers looking to create innovative AI projects.
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