Sony IMX335 5MP USB3.0 STARVIS camera module with HDR, 0.01 lux starlight performance, and 2592×1944 resolution for AMR navigation, outdoor AI monitoring, industrial inspection, and embedded edge AI systems. OEM/ODM support
Product Overview
The Goobuy IMX335 STARVIS USB3.0 Camera Module UCM-IMX335 delivers 5MP starlight imaging performance in a compact design. Featuring the Sony STARVIS 1/2.8" CMOS sensor and USB3.0 high-speed output, it supports 2592×1944 @30 fps (MJPEG) with lower-resolution high-fps modes for real-time tasks.
With its 0.01 Lux low-light sensitivity, UVC plug-and-play functionality, and interchangeable M12 lens mount, the IMX335 module is widely adopted in UAV inspection, AMR/AGV navigation, and industrial/energy monitoring systems. Optional metal housing and multiple PCB form factors (38×38 / 32×32 / 28×28 mm) make integration flexible and reliable.
IMX335 vs. Alternatives:
The Sweet Spot | Sensor | Resolution | Interface | Best For |
| IMX307 | 2MP (1080p) | USB 2.0 | Basic Night Vision |
| Goobuy IMX335 | 5MP (2K) | USB 3.0 | High-Res Inspection & OCR |
| IMX415 | 8MP (4K) | USB 3.0 | Precision Microscopy |
Feature Highlights:

Sensor vs Module Output (Clarified)
Measured on Windows/Linux hosts; actual performance depends on bandwidth, cable length, and system resources.


Integration & Compatibility
Ecosystem & OS Compatibility: Native driverless (UVC) support for Windows, Linux (Ubuntu), and MacOS. Perfectly plug-and-play optimized for modern edge-compute platforms including:
•NVIDIA Jetson Series (Orin Nano, AGX Orin)
•Raspberry Pi 5 / Compute Module 4
•ROS 1 / ROS2 (Humble) & NVIDIA Isaac ROS workflows
Supported by OpenCV, GStreamer, V4L2 pipelines
We support OEM/ODM customization:
“The IMX335 USB3 camera module gave us excellent performance in low-light environments. It works great with Jetson Nano for our robotics project.”
— CTO, Robotics Startup (Germany)
“Very responsive supplier, provided fast samples and technical support. The camera’s quality was impressive.”
— Product Manager, Industrial Vision Company (USA)
Product Applications
|
Industry |
Application |
Role of the IMX335 USB3.0 Camera |
|
Industrial Automation |
Visual inspection, defect detection |
High-res imaging with low latency |
|
Robotics |
Object recognition & navigation |
Compact, plug-and-play sensor |
|
Medical Devices |
Imaging inside diagnostic tools |
Crisp 5MP capture with HDR |
|
Smart Cities |
Traffic camera systems |
License plate and night-time clarity |
|
Retail Analytics |
Footfall analysis, heat maps |
Low-light capable HD video feed |
|
AI Development |
Training datasets, prototyping |
High-resolution sensor data input |
|
Security & Surveillance |
Day/night monitoring, wide area coverage |
STARVIS-enhanced night performance |
2026 -2027 new/hot Application Scenarios' section:
• Perimeter Security & Smart Border Monitoring: 5MP resolution combined with STARVIS night sensitivity delivers actionable imagery for perimeter intrusion detection systems in low-ambient border/campus environments.
• Agricultural AI (Precision Farming): mounted on autonomous agricultural robots or drone inspection systems, the IMX335 captures plant health, pest damage, and crop density detail across variable field lighting conditions.
• Logistics & Parcel Sorting: the HDR mode compensates for reflective barcodes and mixed-contrast packaging in high-speed conveyor imaging, improving barcode read rates under warehouse skylights.
• other: high-contrast factory floor monitoring, and autonomous last-mile delivery robots navigating between extreme sunlight and deep shadows

Problems it can settle / Special Demands it can meet:
I. Industrial Applications:
The Goobuy IMX335 USB3.0 camera module is a Sony STARVIS 5MP sensor platform delivering HDR performance alongside 0.01 lux starlight sensitivity at 2592×1944 resolution, purpose-built for outdoor AI surveillance, autonomous mobile robot navigation, industrial quality inspection, and physical AI embedded vision systems requiring reliable imaging in both high-contrast and low-light environments.
Python
# Example: 5MP Capture with OpenCV on USB 3.0
import cv2
# Ensure you are plugged into a USB 3.0 port (Blue)
cap = cv2.VideoCapture(0)
# Force 5MP Resolution
cap.set(cv2.CAP_PROP_FRAME_WIDTH, 2592)
cap.set(cv2.CAP_PROP_FRAME_HEIGHT, 1944)
# Set FPS (Bandwidth dependent)
cap.set(cv2.CAP_PROP_FPS, 30)
ret, frame = cap.read()
if ret:
print(f"Captured Frame: {frame.shape}")
Q1: Why does this module require USB 3.0?
To stream 5MP (2592×1944) video at 30fps without severe compression artifacts, the bandwidth of USB 2.0 (480Mbps) is insufficient. USB 3.0 (5Gbps) allows for high-quality MJPEG or uncompressed YUY2 transmission, critical for AI analysis.
What is the data throughput requirement for 5MP USB3.0 at full framerate?
At 5MP (2592×1944) with 30fps and RAW10 output, the IMX335 USB3 camera requires approximately 400–500 MB/s of USB3 bandwidth, well within the USB3.0 (5 Gbps) specification. Reducing to 1080p crop mode lowers bandwidth to ~150 MB/s for USB2-capable systems.
Q2: Does the IMX335 support Hardware HDR?
Yes. The IMX335 sensor features DOL-HDR (Digital Overlap HDR) technology. This allows the camera to capture clear details in both bright windows and dark corners simultaneously, making it ideal for ATM or entrance surveillance.
Q3: How does the IMX335 handle high-contrast lighting in autonomous delivery robots?
The IMX335 features native High Dynamic Range (HDR) technology, which captures and combines multiple exposures at the hardware level. This prevents image washout from direct sunlight while preserving fine details in dark shadows, ensuring continuous, reliable data flow to the robot's navigation algorithms.
Q4: What HDR modes does the Sony IMX335 support?
A: The IMX335 supports 2-exposure DOL-HDR (Digital Overlap HDR) providing up to 60dB dynamic range. This enables the camera to simultaneously capture detail in bright windows and dark interior shadows without overexposure or underexposure.
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Relative Blogs and product application articles
STARVIS IMX291 vs IMX335 vs IMX415: Night Vision Camera Guide