"OnePlus Nord 2T Front Camera Replacement – High-Quality Repair & Original Parts"
KK House
OnePlus Nord 2T Front Camera
₹220
Availability:
In Stock
Condition:
New

Shipping:
Quantity:
1000 in stock
Total:
Will be calculated after you select all properties

Key Features

  • Extra 5% Cashback Discount on UPI Prepaid Payments
  • Wholeseals! Earn more with Commission Grade-J
  • 24 Hours Easy Return Policy
  • Durable Build: Constructed from high-quality materials, the replacement camera is built to last, providing longevity similar to the original component.
  • Easy Installation: Designed for straightforward replacement, making it easier for technicians or experienced users to install without requiring extensive technical knowledge.
  • Auto-Focus Capability: Retains the auto-focus functionality, allowing for quick and precise focusing on subjects, ensuring crisp photos.
  • HDR Support: Captures detailed and vibrant photos.

OnePlus Nord 2T Front Camera Replacement

Highlights

  • Model Compatibility: Specifically designed for the OnePlus Nord 2T.
  • Camera Specifications: 32 MP, f/2.4 aperture, 0.8µm pixel size.
  • Quality: OEM (Original Equipment Manufacturer) quality, ensuring a perfect fit and optimal performance.
  • Tools Required: T1 Torx screwdriver, Phillips PH00 screwdriver, plastic opening tools, suction cup, spudger, tweezers, and a SIM card eject tool.

Application Details

  1. Preparation:

    • Power off the OnePlus Nord 2T and remove the SIM card tray using the SIM card eject tool.
    • Use a heat gun or hair dryer to soften the adhesive around the back cover.
  2. Disassembly:

    • Use a suction cup to create a gap between the back cover and the display assembly.
    • Insert a plastic opening tool into the gap and slide it along the edges to release the back cover clips.
    • Remove the screws securing the metal plate and disconnect the battery connector to prevent any electrical damage.
    • Carefully lift the motherboard to access the front camera module.
  3. Camera Replacement:

    • Disconnect the front camera connector from the motherboard.
    • Remove the old front camera module.
    • Install the new front camera module, ensuring it is securely connected.
  4. Reassembly:

    • Reattach the motherboard and secure it with screws.
    • Reconnect the battery and other connectors.
    • Snap the back cover back into place and reinsert the SIM card tray.

Technical Details

Brand: OnePlus
Model number: Nord 2T
Part Number: 08
Seller SKU: Fatima-410
Condition: New
Origin: India
Availability: In Stock
Minimum order quantity: 1
Shipping weight: 500.00 g
Date first listed on DP MART : Aug 31, 2024

OnePlus Nord 2T Front Camera Replacement

Specifications

  • Megapixels: 32 MP
  • Sensor: Sony IMX615
  • Aperture: f/2.4
  • Pixel Size: 0.8 µm
  • Autofocus: Fixed Focus
  • Video Recording: 1080p at 30fps with Electronic Image Stabilization (EIS)
  • Features: Auto HDR, Face Unlock

Key Features

  1. High-Resolution Selfies: The 32 MP sensor ensures sharp and detailed selfies, ideal for social media and video calls.
  2. Auto HDR: Enhances photo quality by balancing light and dark areas, making your selfies look more vibrant and natural.
  3. EIS for Video: Electronic Image Stabilization helps in reducing blurriness and shakiness in videos, providing smoother footage.
  4. Face Unlock: Uses the front camera for quick and secure unlocking of your phone.

Application in Detail

  • Photography: Perfect for capturing high-quality selfies with detailed and vibrant images. The Auto HDR feature ensures that your photos have balanced exposure, even in challenging lighting conditions.
  • Video Calls: The 32 MP front camera with EIS provides clear and stable video quality, making it perfect for video conferencing and virtual meetings.
  • Social Media: With high-resolution selfies and enhanced photo quality, you can confidently share your moments on social media platforms.
  • Security: The Face Unlock feature adds an extra layer of security, allowing you to unlock your phone quickly and securely using facial recognition.

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