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| SKU | wzr1368 |
| GTIN | 0682228909510 |
| Brand | Waveshare |
| Model Name | IMX219-160 Camera for Jetson Nano |
| Part Number | Jetson Nano Camera |
| Sensor Type | IMX219 |
| CMOS Size | 1/4inch |
| Resolution | 3280 x 2464 |
| Megapixels | 8 MP |
| Aperture (F) | 2.35 |
| Focal Length | 3.15mm |
| Angle of View (Diagonal) | 160 degrees |
| Distortion | <14.3% |
| Power Output | 3.3V |
| Dimensions | 25mm x 24mm |
| Weight | 0.01 oz (0.02 kg) |
| Connectivity Technology | HDMI, CSI |
| Operating System Compatibility | Ubuntu 18.04 |
| Included Components | IMX219-160 Camera, 15-pin FFC (16cm) |
| Country of Origin | Not stated by manufacturer — US retail version, sourced from authorized US retailers and authorized brand partners |
This item:
Waveshare IMX219-160 Camera Module 8MP 160° FOV for NVIDIA Jetson Nano & Raspberry Pi 3280x2464
3,476
This item
Waveshare IMX219-160 Camera Module 8MP 160° FOV for NVIDIA Jetson Nano & Raspberry Pi 3280x2464
3,476
Total price:
10,950
You save 2,902 (21%) Extra3 items selected
3 items
10,950You save 2,902 (21%) Extra
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Unlock Advanced AI Vision for Your Projects
The Waveshare IMX219-160 camera module is designed for AI enthusiasts and developers, offering an 8-megapixel sensor with a 160-degree wide angle of view. It's compatible with NVIDIA Jetson Nano Developer Kit, Jetson Orin Nano, and various Raspberry Pi boards, enabling advanced projects like face recognition and road mark detection. All customs duties and GST are included in the price, with delivery facilitated by ExpressBox.
This camera module features a 1/4-inch CMOS sensor with an aperture of F2.35 and a focal length of 3.15mm, providing clear imaging for detailed AI applications. The 160-degree diagonal field of view captures a broad scene, minimizing blind spots. It connects via the CSI interface and includes a 15-pin FFC cable for easy integration.
For users in India, this module provides a high-quality imaging solution for robotics and AI development. While local alternatives may exist, this imported module offers specific compatibility with NVIDIA Jetson and Raspberry Pi platforms, ensuring seamless integration for your projects. Delivery is handled efficiently through our ExpressBox service.
Precision Imaging for AI Projects
This Waveshare IMX219-160 camera module delivers the high-resolution imaging critical for accurate AI applications. Its 8MP sensor and 3280x2464 resolution capture fine details essential for tasks like license plate recognition or road mark detection. The wide 160-degree FOV ensures comprehensive scene coverage, reducing blind spots in robotic vision systems. Designed for platforms like NVIDIA Jetson Nano and Raspberry Pi, it offers a robust solution for developers seeking reliable visual input for their AI projects. All customs duties and GST are pre-paid, ensuring a transparent landed cost for Indian buyers.
Ideal for Developers, Not General Users
This camera module is specifically designed for developers and hobbyists working with single-board computers like NVIDIA Jetson and Raspberry Pi for AI and computer vision projects. It requires technical knowledge for setup and integration. It is not a plug-and-play camera for everyday photography or standard computer use. If you need a simple webcam or a camera for general-purpose photography, this module may be overly complex and not the right fit for your needs.
Typical situations where Waveshare IMX219-160 Camera Module 8MP 160° FOV for NVIDIA Jetson Nano & Raspberry Pi 3280x2464 helps — illustrative scenarios, not customer reviews.
A robotics hobbyist in Bangalore needs a camera for an AI-powered obstacle avoidance system on a Raspberry Pi.
This 8MP, 160° FOV camera module provides the wide-angle view and high resolution needed to detect obstacles effectively. It connects directly to the Raspberry Pi's CSI port, simplifying integration for their project.
A student in Delhi is building a license plate recognition system using an NVIDIA Jetson Nano for a college project.
The camera's 3280x2464 resolution and AI project focus make it ideal for accurately capturing and processing license plates. Its compatibility with the Jetson Nano ensures smooth software integration for their AI model.
| Compatible Devices | NVIDIA Jetson Nano Developer Kit, Jetson Orin Nano Developer Kit, Raspberry Pi 5/4B/3B+/3B/Zero/Zero 2 W/WH Boards, Compute Module CM3/CM3+/CM4 |
| AI Project Applications | Face recognition, Road mark detection, License plate recognition |
| Cost per unit | ₹3,476 per camera module |
| Shelf life after opening | N/A |
| Reapplication math | N/A |
| Contraindications | Not suitable for general photography or as a standard webcam; requires technical setup for AI/robotics projects. |
| Allergens / common irritants | N/A |
| Feature | Waveshare IMX219-160 Camera | Others |
|---|---|---|
| Sensor & Resolution | 8MP IMX219 sensor, 3280x2464 resolution | Varies by brand; often lower resolution (e.g., 5MP) or older sensors. |
| Field of View | 160-degree wide angle | Typically 70-90 degrees; wide-angle options less common or more expensive. |
| AI Project Compatibility | Optimized for NVIDIA Jetson & Raspberry Pi CSI interface | May require additional adapters or have limited software support for specific SBCs. |
| Cost per unit | ₹3,476 per camera module | Varies widely; basic modules may be cheaper but lack advanced specs. |
| Integration Ease | Includes FFC cable for direct CSI connection | May require purchasing separate cables or adapters. |
About waveshare
Waveshare specializes in electronics development tools and modules, offering a wide range of hardware for Raspberry Pi, NVIDIA Jetson, and other single-board computers.
Compliance & Legal
No product-specific compliance warnings identified. Standard imported-goods terms apply: customs duties & GST paid; for personal use in India; follow the manufacturer's usage instructions on the packaging.
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| Attributes | Current |  |  |  |  |  |  |
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| Spec | |||||||
| Price |
3,984 5,508 |
3,490 4,662 |
1,593 2,336 |
5,959 11,132 |
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1,260 1,792 |
| Rating | 4.10(88) | 4.30(72) | 4.20(380) | 0 | 4.50(1,764) | 4.20(19) | 4.40(247) |
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| Source | US Retail | US Retail | US Retail | US Retail | US Retail | US Retail | US Retail |
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