2026 Industrial Camera Selection ​ Guide

In 2026, the overall market demand for industrial cameras is expected to maintain sustained growth, with a primary focus on the 3D industrial machine vision field. Driven by strong demand and rapid growth, the market penetration of 3D technology is accelerating. In China, MindVision has already captured a significant market share and is further advancing its layout in the 3D market. Meanwhile, customer demands are shifting toward integrated visual solutions that offer one-stop problem-solving capabilities. With numerous camera brands available in the market, many clients often face challenges in selection. Below, we explore how to choose a suitable industrial camera.

1. Basic Classification of Industrial Cameras

Before selection, it is essential to grasp the basic classifications to quickly filter the right products.

1.1 By Chip Type: CCD Cameras vs. CMOS Cameras

CCD Cameras: Signal is read out via row-by-row scanning and charge shifting, with a unified process. They are ideal for weak-light environments and high-quality imaging scenarios such as scientific research and high-end detection.

CMOS Cameras: Each pixel integrates an amplifier and analog-to-digital conversion circuit, enabling independent signal reading. Leveraging high speed, low cost, low power consumption, and continuously improving imaging quality, they have become the first choice for most industrial applications and are widely adopted across various industries.

1.2 By Exposure Mode: Global Shutter vs. Rolling Shutter

Global Shutter: All pixels expose simultaneously. Suitable for precision measurement, high-speed visual guidance, and other applications that require accurate edge retention of moving objects. However, under the same specifications, its dynamic range and sensitivity are slightly lower than those of a rolling shutter.

Rolling Shutter: The sensor exposes row-by-row (or column-by-column), with pixels on the same row exposing simultaneously but starting exposure at different times. It features a simple pixel structure, making it suitable for stationary objects. However, under stroboscopic lighting, it may cause banding artifacts (some frames bright, others dark).

Recommendation: Choose a global shutter for high-speed moving objects; opt for a rolling shutter for stationary or low-speed objects with a limited budget.

1.3 By Sensor Structure: Area Scan Cameras vs. Line Scan Cameras

Area Scan Cameras: Capture images frame-by-frame by collecting multiple rows of data. They have a wide range of applications, including measuring area, shape, size, position, and even temperature. The advantage lies in acquiring 2D image information with intuitive measurement. The downside is the large number of pixels, with fewer pixels per row compared to line scan cameras, leading to limited frame rates.

Line Scan Cameras: Feature a linear image sensor. Though outputting 2D images, they have an extremely wide width (thousands of pixels) but only a few pixels in height. They demand high system synchronization control—any speed fluctuation will cause image distortion (stretching or compressing), resulting in high debugging and maintenance thresholds. However, they offer high scanning frequency and resolution.

Recommendation: Area scan cameras suit most static or low-speed object detection scenarios; line scan cameras are designed for high-speed moving objects, continuous surfaces, or applications requiring ultra-large field of view and ultra-high precision.

1.4 By Output Color: Monochrome Cameras vs. Color Cameras

Monochrome Cameras: Only record light intensity (grayscale) information. They deliver higher resolution, clearer details, and faster frame rates, and are particularly sensitive to invisible light such as infrared radiation. However, they cannot provide color data.

Color Cameras: Capture the red, green, and blue (RGB) light signals of scenes to output color images, but difference calculations may introduce false colors and detail loss.

Recommendation: Color cameras are suitable for detection requiring color information (e.g., food appearance inspection, printed matter color detection); monochrome cameras are more sensitive to light and excel at detecting grayscale differences and texture details, making them ideal for high-precision scenarios such as dimension measurement and defect detection.

1.5 By Sensor Size: Large Format Sensors vs. Small Format Sensors

Large Format Sensors: Generally refer to sensors of 1 inch and above. With large pixel sizes, they offer potential higher image quality but come with larger system volumes, requiring professional lenses and higher costs.

Small Format Sensors: Typically refer to sensors of 1/1.8 inches and below. With small pixel sizes, they deliver acceptable central image quality but may suffer from edge degradation. They feature compact systems and low costs.

Recommendation: Opt for large format sensors for ultimate performance (large field of view, high precision, or low-light environments); choose small format sensors for cost-effectiveness and compactness (cost-sensitive or space-constrained integrated scenarios). Note: The lens format must be larger than the camera sensor format.

1.6 By Data Interface: USB3.0, GigE Vision, CoaXPress

Balance speed, distance, cost, and stability to determine the interface:

GigE Vision: Suitable for most factory automation scenarios.

USB3.0: Ideal for desktop and short-distance applications.

10GigE Vision and CoaXPress: Target high-end high-speed application requirements.

2. Selection Steps

Based on Application: For moving objects, select a line scan camera; for stationary objects, choose an area scan camera.

Based on Color Demand: Select a color camera if color information is required; otherwise, opt for a monochrome camera.

Based on Speed: For high-speed moving objects, choose a global shutter; for low-speed or stationary objects, select a rolling shutter.

Calculate Sensor Format and Resolution: Determine based on field of view and precision requirements.

Determine Data Interface: Decide according to transmission speed, distance, and budget.

2.1 Selection Example

Scenario: Width of 1600mm, Precision of 1mm, Moving Speed of 22000mm/s

Camera Type: Since the object is moving, select a line scan camera.

Pixel Calculation:
       

Minimum pixels: 1600mm / 1mm = 1600 pixels (minimum 2000 pixels) → Choose a 2K camera.

Actual precision: 1600mm / 2048 pixels ≈ 0.8mm.

Required frequency: 22000mm/s / 0.8mm = 27.5kHz.

Final Selection: A 2048-pixel camera with a frequency of 28kHz.

3. Camera Brands

Based on popular brands in the market, they are divided into imported and domestic categories.

3.1 Imported Brands 1. Teledyne

Teledyne Dalsa: Boasts a rich product line, including area scan cameras, line scan cameras, TDI cameras, and 3D cameras, and is a leader in the industry.

Teledyne Lumenera: Specializes in USB cameras, board-level cameras, and near-infrared cameras.

3.2 Domestic Brands 1. Hikvision Robotics

A global provider of industrial machine vision and mobile robotics products and solutions. Focusing on industrial IoT, smart logistics, and intelligent manufacturing, it builds an open and cooperative ecosystem. It delivers innovative technologies to drive intelligent upgrading and leads the development of intelligent manufacturing.

2. MindVision

Founded in 2013, MindVision has deeply cultivated the industrial camera field, focusing on R&D, production, and manufacturing, and has grown into a leading domestic industrial camera brand. Headquartered in Shenzhen, it has established production and R&D bases in Changsha, Hunan, and Wuxi, Jiangsu. It offers the self-owned brand MindVision and provides a full range of industrial camera ODM services.