This is an old revision of the document!
Multiply the object's velocity by the sensor's effective exposure or row readout time to estimate pixel shift, then compare that shift to your required measurement tolerance. If the shift exceeds roughly ten percent of your tightest tolerance, rolling shutter is unsuitable and global shutter should be specified instead.
Edge Processing or Centralized Vision Systems: Which Fits Your Line? The choice between edge and centralized architectures is less a matter of one being universally superior and more a matter of matching the tool to the line's tempo and complexity, much like choosing a scalpel over a chainsaw depending on the precision the task demands. Centralized systems still hold an advantage when a single powerful server needs to run computationally heavy models across dozens of camera feeds simultaneously, or when historical image archiving for regulatory traceability is a priority alongside inspection. Edge deployments, in contrast, excel where deterministic low-latency response is the primary requirement and where network infrastructure cannot be guaranteed to remain uncongested.
IP67 is a common baseline for machine vision cameras exposed to dust, coolant spray, or washdown conditions, protecting against dust ingress and temporary water immersion. Applications with heavier exposure to liquids or chemical cleaning agents may require additional protective housings rated beyond standard IP67 specifications.
Advanced machine vision lenses engineered for metrology applications are typically specified with distortion figures below 0.1%, achieved through multi-element designs that use aspherical surfaces to cancel out the aberrations a simpler lens would introduce. Some integrators compensate for distortion through software calibration routines that map a known calibration target and build a correction lookup table. This approach works, but it consumes processing time on every frame and can never fully correct for distortion that varies with focus distance or temperature, which is why low-distortion optics remain preferable to software correction alone in high-precision robotic guidance applications.
Modular lighting, mounted on its own adjustable arm or bracket, offers far greater flexibility for facilities running mixed production or frequent product changeovers, since the light angle, distance, and diffusion can be tuned without touching the camera at all. This flexibility comes at the cost of a more complex initial setup, additional cabling, and a greater number of components that could potentially fail or drift out of alignment over time. The table below summarizes how these two approaches compare across the factors that matter most to industrial cameras buyers.
Confirm the camera supports GenICam and check whether the manufacturer provides a compatibility matrix or SDK documentation specific to your PLC or vision software brand. Requesting a working demo integration before purchase is the most reliable way to avoid post-installation surprises.
How Much Waste Reduction Is Realistic on a Typical Line? Consider a bottling line producing 600 units per minute, where a legacy centralized vision system flags defective caps with an average latency of 220 milliseconds. At that line speed, the belt advances roughly 45 millimeters during the decision window, which is frequently enough distance to move the flagged unit past the reject gate. Suppose 0.8 percent of units have a genuine cap defect; on a 600-unit-per-minute line running two shifts, that is over 5,700 defective units per day, and if even a third of those slip past a slow reject gate, more than 1,900 units per day become downstream scrap, returns, or manual rework.
Weighing the Tradeoffs: Higher Resolution vs. Higher Frame Rate Choosing between higher resolution and higher frame rate is one of the most common tension points when specifying machine vision systems. Higher resolution improves the ability to detect small defects and measure fine dimensional tolerances, which benefits static or slow-moving inspection stations where image detail matters more than cycle speed. The tradeoff is that higher-resolution frames take longer to read out and process, which can cap the achievable frame rate unless the interface bandwidth and processing hardware are both upgraded accordingly.
Consider a practical scenario: a system integrator selects a 12-megapixel sensor with a 3.45-micron pixel pitch for inspecting solder joints on a printed circuit board. If the accompanying lens was designed for a 5-micron pixel pitch sensor from an earlier generation, its optical resolving power cannot match the sensor's finer sampling. The result is an image that appears sharp on a monitor but fails to reveal micro-fractures or insufficient solder fillets at the required tolerance. Matching lens resolution to sensor resolution, rather than simply matching mount type, is the calculation that determines whether the investment in a high-resolution camera actually pays off.