The Imaging Source DMM 36SX297-ML Monochrome MIPI CSI-2 Board Camera

Highlights

The Imaging Source DMM 36SX297-ML Monochrome MIPI CSI-2 Board Camera is a compact 0.4 MP embedded vision camera built around the Sony IMX297 Pregius CMOS sensor. It captures 720 × 540 monochrome images at up to 120 fps with 6.9 µm pixels and a global shutter.

Designed for compact embedded and OEM vision systems, the camera uses a 22-pin MIPI CSI-2 FFC interface compatible with NVIDIA Orin, NXP i.MX 8M Plus and Raspberry Pi 5 platforms. Its 30 × 30 × 6 mm board-level design, 4 g mass, trigger input and optional M12x0.5 lens mount make it well suited for space-constrained high-speed imaging applications.

Features

• 0.4 MP resolution with a full image size of 720 × 540 pixels.
• Up to 120 fps at full resolution for high-speed embedded imaging.
• Sony IMX297 sensor based on Pregius CMOS imaging technology.
• Global-shutter operation supports distortion-free capture of moving objects.
• 6.9 µm pixels on a 1/2.9-inch sensor with an approximately 5.0 × 3.7 mm active area.
• 10-bit monochrome output supports detailed grayscale image acquisition.
• MIPI CSI-2 interface provides a direct, low-latency connection between the image sensor and embedded processor.
• 22-pin FFC connector supports compact embedded-camera integration.
• Platform compatibility includes NVIDIA Orin, NXP i.MX 8M Plus and Raspberry Pi 5.
• Trigger input and strobe output support synchronized image acquisition and external illumination control.
• Optional M12x0.5 lens mount supports compact embedded optics.
• 1 µs to 1 s exposure range provides flexible control for high-speed and low-light imaging.
• Compact board-level design measures only 30 × 30 × 6 mm and weighs approximately 4 g.
• Wide operating range supports board temperatures from −30 °C to 85 °C.

Applications

• Embedded vision systems
• OEM machine-vision systems
• High-speed image acquisition
• Robotics and autonomous systems
• Industrial automation
• Motion analysis
• Compact inspection systems
• Externally triggered imaging systems
• NVIDIA Jetson-based vision systems
• Raspberry Pi embedded vision systems