Skip to main content
Free Delivery  ·  COD Available  ·  15-Day Returns
Pricio
K210 Visual Recognition Module with 2MP Camera OV2640 2 inch LCD Capacitive Touch Screen For DIY Robot Car Kit RaspberryPi — image 1
Hover to zoom

1 / 8 · Click to enlarge

Pricio

K210 Visual Recognition Module with 2MP Camera OV2640 2 inch LCD Capacitive Touch Screen For DIY Robot Car Kit RaspberryPi

AI Summary
Electronics for DIY enthusiasts and makers

The K210 Visual Recognition Module with 2MP Camera OV2640 2 inch LCD Capacitive Touch Screen For DIY Robot Car Kit RaspberryPi by Pricio is a premium electronics designed for DIY enthusiasts and makers.

₹6,151-18%
MRP:₹7,499Save ₹1,348
Free Shipping💵 COD Available

Available Offers

Free Delivery on this order. No minimum order value.

15-Day Easy Returns — hassle-free return & full refund.

Secure Payment — 100% safe checkout with UPI, Cards & Net Banking.

18% Off — you save ₹1,348 on this product!

Type: Without TF card

Without TF card
Total: ₹6,151
Buying tip: A quality investment for dependable performance and premium build quality.
Estimated delivery: 4 Aug18 Aug
Free Shipping
Pan India delivery
15-Day Returns
Hassle-free policy
Secure Payment
Razorpay protected
Quality Assured
Vetted products only

Available Offers

💳

5% Cashback

Pay with UPI & get 5% cashback (up to ₹50) via Razorpay

🏦

No-Cost EMI

Available on select bank cards at checkout. 0% interest for 3 months.

📦

Free Shipping

Free delivery on all orders. No minimum order value.

💵

Cash on Delivery

COD available on orders up to ₹5,000 across India.

Ideal For

Photography and videographySecurity monitoringLive streaming
Share:
SKU: bg-2047336Category: Electronics

About This Product

The K210 Visual Recognition Module with 2MP Camera OV2640 2 inch LCD Capacitive Touch Screen For DIY Robot Car Kit RaspberryPi by Pricio is a premium electronics designed for DIY enthusiasts and makers. It delivers reliable performance at an accessible price.

Why Buy from Pricio?

Pricio sources this product directly, cutting out multiple middlemen. Every order includes free shipping, a 15-day return policy, and secure payment via Razorpay.

Specifications:
Chipset: Kendryte K210 AI computing platform with dual-core RISC-V processor and 1 TOPS computing power.
Display: 2.0-inch capacitive LCD touch screen with 320x240 resolution for graphical operation and debugging.
Camera: 2MP high-definition camera module with real-time image processing.
Interface: Serial port for connecting to external devices; supports multiple development platforms (Raspberry Pi, Micro:bit, STM32, etc.).
Power consumption: 0.8W/0.16A; optimized for low power usage.
Size: Compact dimensions (57.3x41.2x17.4 mm).

Features:
1. AI Visual Recognition: Supports 16 AI recognition cases, including QR code, barcode, license plate, face, and object detection.
2. Real-Time Image Processing: Allows autonomous learning and image recognition with self-training capabilities.
3. Interactive Touch Screen: Enables graphical operations such as sliders, buttons, charts, and shape drawing.
4. Expandable Design: Compatible with multiple brackets, Lesgo structures, and additional modules for advanced setups (e.g., robotics or smart cars).
5. Programming Support: Developed on MicroPython with CanMVIDE development environment for easy code management and debugging.
6. Tutorials & Courses: Ships with extensive course materials, code examples, and step-by-step tutorials for fast setup and learning.

Package Includes:
1 x K210 Visual Recognition Module



Product Safety Information

Setup Guide

1
Identify the pins
Locate VCC (power), GND (ground), and data pins (SDA/SCL for I2C, MOSI/MISO for SPI, or TX/RX for UART). Refer to the pinout diagram on the product page.
2
Wire to your microcontroller
Connect VCC to 3.3V or 5V (check the module spec), GND to GND, and data pins to the appropriate GPIO pins on your Arduino or Raspberry Pi.
3
Install libraries
In Arduino IDE, go to Sketch → Include Library → Manage Libraries and search for the sensor library. Install the recommended version.
4
Upload example sketch
Open File → Examples → [library name] → Basic Example. Upload to your board and open Serial Monitor to view output.
5
Calibrate if needed
Some sensors (temperature, humidity, distance) may need a short warm-up period or calibration. Run the calibration sketch if provided.