DMSBBFAN

Overview

DMSBBFAN camera module is equipped with OmniVision CMOS image sensor OV02311 and Maxim GMSL serializer MAX96717F. It has an automotive-grade sensor with a well-tuned Image Signal Processor (ISP) that produces exceptional image quality, It is also equipped with an infrared automotive grade lens that supports 940nm infrared light recognition.

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Getting Started

Specification

Parameter	Value
Sensor	OV 2.08MP OV02311 Monochrome
ISP	GW5200
Image Size	1/2.9 inch CMOS
Output Pixels	1600H*1300V
Pixel Size	3um*3um
Frame Rate	1600H*1300V@30fps
Output data	YUV422@8bit
Serializer	MAXIM MAX96717F
IR Filter	940nm band pass
Camera Interface	GMSL2
Power Supply	POC: 9~16V , LED: 9 ~16V DC
Current	POC: Less than 250mA@12VDC, LED: Less than 400mA@12VDC
Connector	Amphenol Fakra (Z Code) + Molex
Operating temp. range	-40~+85℃
Dimensions	W: 35.3mm, L:43.6mm, H:24.8mm
Weight	Less than 50g

Dimensions

Hardware Overview

Block Diagram

I2C Address Information

Component	Parameter	Value
Serializer	Model	Max96717F
	I2C Address	0x80 (8bit address)
	GMSL Rate	GMSL2 (3G bps)
ISP	Model	GW5200
	I2C Address	0xDA (8bit address)
	Reset	Controlled by Max96717F MFP0
Sensor	Model	OV02311
	I2C Address	0xC0 (8bit address)
	Frame Sync	Controlled by Max96717F MFP7
	ERROR	Controlled by Max96717F MFP3

LED Connector Pin Definition

Pin Definition		Operating Voltage Range		Steady State Current	Interface Type
PIN	Description	Max(V)	Min(V)	(mA)
1	VCC+	16	9	<400mA@12V	Molex (5600200220)
2	GND	0	0	0

Lens Options

Model	HFOV	VFOV	F.No	EFL	Max Optical Distortion	Water-proof	Lens Mount
DMSBBFAN	55°	44.4°	2.2	5.1mm	-0.09%@HFOV	IP5X	M9

Parts List

Standard Configuration

• DMSBBFAN
• Power Supply Cable

Employing Camera

1. Adaptation to NVIDIA® Jetson™ platform

DMSBBFAN Camera Connect to Nvidia Jetson AGX Orin

Step 1: Installation Steps

Quick Setup

1. Connect the DMSBBFAN camera to the SG8A-ORIN-GMSL2 board using the coaxial cable
2. Mount the SG8A-ORIN-GMSL2 board onto the Jetson AGX Orin module
3. DMSBBFAN camera Connect the power supply
4. SG8A-ORIN-GMSL2 board Connect the power supply
5. Power on the system

Step 2: Software Preparation

SDK Download

-Select the appropriate driver package based on your camera type and JetPack version:

-Copy the full link address to DownGit to download

NO.	JetPack Version	NVIDIA Jetson Devices	Adapter Board	Download Link
1	JP5.1.2	Jetson AGX Orin Developer Kit	SG8A-ORIN-GMSL2-F	Download
2	JP6.2	Jetson AGX Orin Developer Kit	SG8A-ORIN-GMSL2-F	Download

JetPack Versions

NVIDIA JetPack (Jetpack 5.1.2 or Jetpack 6.0 ) is the official software development kit (SDK) for the Jetson series of development boards. It includes the operating system, drivers, CUDA, cuDNN, TensorRT, and other development tools and libraries. Each JetPack version typically corresponds to a specific Jetson Linux version (formerly known as L4T - Linux for Tegra).

• 36.4.3: L4T R36.4.3 (Jetpack 6.2)
• 36.4: L4T R36.4 (Jetpack 6.1)
• 36.3: L4T R36.3 (Jetpack 6.0)
• 35.4.1: L4T R35.4.1 (Jetpack 5.1.2)

For more information, visit NVIDIA's official Jetson Download Center.

2. Camera Integration with Customer's Self-developed Platform

For customers with their own deserializer who want to adapt our camera (serializer) to their platform, detailed technical coordination is required.

The diagram illustrates the communication architecture between a camera and controller system. It shows how data flows from the Sensor/ISP through the Serializer on the Camera side, across to the Deserializer and SOC on the Controller side. The system utilizes Fsync signals for synchronization and MFP7 interfaces for control. This architecture is essential for proper integration of SENSING cameras with customer-developed platforms.

Step 1: Link Register initialization

SENSING will provide:

• Serializer and Deserializer Configuration

  • Register configuration for the camera module-Getting Camera Information
  • I2C communication protocol details

• Link Status Troubleshooting Guide

  • Link training parameters
  • Error detection settings

tip

Please refer to the software flow and demo code below to develop your driver code.

Software Development

1. Driver Development:

/* Example code for MAX9296 I2C initialization */
#define MAX9296_I2C_ADDR 0x90 // 8-bit address

int max9296_init() {
    // Initialize I2C bus
    i2c_init();
    
    // disable MIPI output
    i2c_write(MAX9296_I2C_ADDR, 0x0313, 0x00);
    delay_ms(100);
    // Configure link settings for GMSL2 (3Gbps)
    i2c_write(MAX9296_I2C_ADDR, 0x0001, 0x01);

    // Configure linkA and linkB settings for GMSL2 selection (default value)
    i2c_write(MAX9296_I2C_ADDR, 0x0006, 0xC0);
    
    // Configure MIPI rate 1200Mbps
    i2c_write(MAX9296_I2C_ADDR, 0x0320, 0x2C); 
    
    // enable MIPI output
    i2c_write(MAX9296_I2C_ADDR, 0x0313, 0x02);
    
    return 0;
}

2. Camera Configuration:

/* Example code for OMSBDAAN  initialization */

#define MAX9295_I2C_ADDR 0x80 // 8-bit address

int camera_init() {
    // Initialize deserializer first
    max9296_init();
    
    // Reset ISP through MAX9295A
    i2c_write(0x80, 0x02BE, 0x10); // MFP0 high
    // 
    i2c_write(0x80, 0x0057, 0x12); 
    i2c_write(0x80, 0x005B, 0x11); 
    //  Configure datatype  YUV422 8bit
    i2c_write(0x80, 0x0318, 0x5E); 

    //  camera trigger  MFP7  low to  high
    i2c_write(0x80, 0x02D3, 0x00); // MFP7 low
    delay_ms(300);
    i2c_write(0x80, 0x02D3, 0x10); // MFP7 high

    return 0;
}

Integration Steps

1. BSP Integration:

   • Modify the device tree to include the CSI interface configuration
   • Add camera driver to kernel build configuration
   • Configure media controller pipeline for the camera

2. Application Development:

/* Example code for capturing camera frames */
#include "camera_api.h"

int main() {
    // Open camera device
    int fd = open("/dev/video0", O_RDWR);
    if (fd < 0) {
        perror("Failed to open camera device");
        return -1;
    }
    
    // Configure video capture format
    struct v4l2_format fmt = {0};
    fmt.type = V4L2_BUF_TYPE_VIDEO_CAPTURE;
    fmt.fmt.pix.width = 1600;
    fmt.fmt.pix.height = 1300;
    fmt.fmt.pix.pixelformat = V4L2_PIX_FMT_YUYV;
    
    if (ioctl(fd, VIDIOC_S_FMT, &fmt) < 0) {
        perror("Failed to set format");
        close(fd);
        return -1;
    }
    
    // Request and map buffers
    // ... (buffer setup code) ...
    
    // Start streaming
    // ... (streaming code) ...
    
    // Capture and process frames
    // ... (frame processing code) ...
    
    // Cleanup
    close(fd);
    return 0;
}

Step 2: Data Processing

After receiving the module data through the MIPI CSI interface:

• Data Reception
  • MIPI CSI-2 protocol implementation
  • Data rate configuration
  • Clock synchronization
• Image Processing
  • Raw/YUV data parsing
  • Image format conversion
  • Display configuration

Technical Support

• Documentation

  • Detailed register descriptions

• Engineering Support

  • Technical consultation
  • Debug assistance
  • Performance optimization

tip

SENSING Technology provides technical support for integration with most platforms. For detailed documentation, sample code, and technical assistance, please contact our support team.