| Application Fit | Match the camera to web inspection, semiconductor inspection, printing, packaging, sorting, or metrology requirements. | A camera optimized for one inspection task may not provide the required speed, sensitivity, or dynamic range for another. | Provide a sample product, line speed, object width, defect size, working distance, and lighting conditions for a documented feasibility test. |
| Sensor Resolution | Common line resolutions include 2K, 4K, 8K, and higher; select based on the required field of view and target defect size. | Higher pixel counts improve sampling across the object width but may increase data volume, cost, and processing requirements. | Calculate horizontal resolution using: field of view ÷ required millimetres per pixel. Request a sensor datasheet and a raw-image sample. |
| Line Rate | The required line frequency must support the material speed and desired aspect ratio; encoder triggering is preferred for variable-speed lines. | Insufficient line rate causes gaps or distortion, while excessive line rate can reduce exposure time and image signal quality. | Confirm maximum line rate at the required bit depth, resolution, exposure time, and interface configuration rather than quoting an unloaded maximum. |
| Pixel Size and Sensitivity | Typical line-scan pixel sizes are approximately 5–14 µm, depending on the sensor generation and resolution. | Pixel size affects spatial sampling, light collection, noise performance, and the optical design of the system. | Compare quantum efficiency, read noise, dark current, full-well capacity, and signal-to-noise data at the intended wavelength. |
| Monochrome or Color | Use monochrome for maximum sensitivity and fine contrast; use RGB or multispectral sensing when color or spectral separation is essential. | Color configurations can provide additional material information but generally require more complex calibration and processing. | Request spectral-response curves, color-registration data, and images captured under the same illumination used in production. |
| Optical Compatibility | Check lens mount, sensor length, pixel size, working distance, field of view, depth of field, and telecentricity requirements. | A suitable sensor cannot compensate for incorrect magnification, lens coverage, distortion, or uneven illumination. | Ask for a complete optical calculation and verify that the proposed lens covers the full sensor length without excessive shading. |
| Interface and Data Throughput | Common industrial options include GigE Vision, USB3 Vision, Camera Link, and CoaXPress; the choice depends on bandwidth, cable length, and system architecture. | Interface bandwidth and latency determine whether full-resolution images can be transmitted reliably at the required line rate. | Check protocol compliance, maximum cable distance, packet-loss handling, driver support, SDK compatibility, and sustained throughput under continuous operation. |
| Triggering and Encoder Support | Prefer external trigger input, quadrature encoder support, programmable exposure, and deterministic line timing. | Encoder synchronization maintains geometric accuracy when conveyor or web speed changes. | Test trigger jitter, minimum trigger interval, input voltage range, phase control, and image stability at changing production speeds. |
| Calibration and Image Uniformity | Required functions may include dark-field correction, flat-field correction, defective-pixel correction, gain adjustment, and shading compensation. | Correction functions reduce fixed-pattern noise, pixel response variation, shading, and false defect detection. | Request uniformity measurements before and after calibration, together with the correction workflow and storage method. |
| Mechanical and Environmental Design | Evaluate housing strength, heat dissipation, mounting holes, connector locking, operating temperature, humidity, vibration, and ingress protection. | Industrial environments can introduce dust, vibration, temperature changes, and electromagnetic interference. | Review environmental test reports, protection ratings where applicable, thermal behavior at full speed, and mechanical drawings. |
| Software and Integration | Look for GenICam compatibility, documented APIs, Windows/Linux support where required, sample code, and integration with the intended vision platform. | Reliable software support reduces commissioning time and makes future maintenance easier. | Install the SDK on the target computer, test continuous acquisition, verify parameter access, and confirm software version-control practices. |
| Quality Control and Traceability | A reliable supplier should provide serial-number traceability, incoming inspection, calibration records, final test results, and change-control procedures. | Documented quality processes help maintain consistent performance across production batches. | Request a sample inspection report, acceptance criteria, nonconformance process, and evidence of production consistency. |
| Testing and Sample Validation | The supplier should support evaluation with real samples, production lighting, intended optics, operating speed, and the final acquisition interface. | Laboratory specifications alone do not prove defect-detection performance in a production environment. | Use agreed acceptance criteria such as minimum detectable defect size, false-rejection rate, uptime, image uniformity, and repeatability. |
| Compliance and Documentation | Confirm applicable electrical, electromagnetic-compatibility, safety, and material-compliance documentation for the destination market. | Correct documentation supports machine approval, import procedures, workplace safety, and customer audits. | Request current declarations, test reports, user manuals, technical drawings, and product change notifications. |
| Warranty and Lifecycle Support | Assess warranty duration, repair or replacement procedure, spare-unit availability, firmware policy, response time, and long-term product continuity. | A camera is part of a production system, so downtime and replacement compatibility can have a greater cost than the initial purchase price. | Include service-level expectations, escalation contacts, repair turnaround, end-of-life notification, and backward-compatibility requirements in the purchase agreement. |
| Total Cost of Ownership | Compare camera, lens, lighting, interface cards, cables, software, calibration, installation, maintenance, spare parts, and downtime costs. | The lowest purchase price may not provide the lowest cost over the full operating life. | Use a weighted scorecard that combines technical fit, validated image quality, delivery capability, service support, and five-year operating cost. |