Videology 24C46X-2 2.1MP 1080p Industrial Mini Camera with 1/3” CMOS Sensor, 15×15×13mm

Aegis Electronic Group Inc. presents the Videology 24C46X-2 industrial-grade cameras, a benchmark in high-performance imaging solutions proudly made in the USA, NDAA compliant and tailored for machine vision and industrial applications. These cameras feature a 1/3" CMOS sensor with a resolution of 1920 x 1080, delivering sharp and clear images. The rolling shutter technology ensures smooth and accurate image capture, even in high-speed environments. With a pixel size of 2.8μm x 2.8μm and a sensitivity of less than 0.5 lux, these cameras excel in low-light conditions for consistent imaging performance.

The Videology 24C46X-2 cameras, engineered and manufactured in America to the highest quality standards, support both TVI and AHD coaxial outputs, providing flexible integration options. Their robust design operates reliably in extreme temperatures ranging from -30°C to 60°C, making them ideal for demanding industrial environments. Additionally, the wide dynamic range of 60.0 dB ensures exceptional handling of high-contrast scenes.

Applications benefiting from the Videology 24C46X2 cameras include industrial automation, vision inspection, quality control, and various machine vision tasks. Combine durability, performance, and American engineering excellence—invest in the Videology 24C46X-2 cameras to elevate your industrial imaging solutions to the next level.

Features:

• 1/3" CMOS sensor, 2.1MP resolution
• 1920 x 1080 recording pixels
• Rolling shutter with automatic/fixed options
• High sensitivity (<0.5 lux) for low-light conditions
• Supports TVI and AHD coaxial outputs
• Wide dynamic range of 60.0 dB
• Operates in extreme temperatures (-30°C to 60°C)
• Lightweight and compact design
• Also available In Housed Camera & Housed Camera with Optional Lens Shown

Applications:

• Industrial automation
• Vision inspection systems
• Quality control processes
• High-speed imaging tasks
• Low-light environment imaging
• High-contrast scene capture