Imaging requirement definition
Translate target size, defect scale, field of view, distance, speed and environment into measurable imaging requirements.
- Resolution budget
- Field of view
- Exposure and motion
Technical capability for converting inspection and perception requirements into an imaging chain: camera, sensor, lens, lighting, acquisition, synchronization, compute and mechanical or environmental integration.
The implementation route is selected from project inputs and verified against an agreed method.
Translate target size, defect scale, field of view, distance, speed and environment into measurable imaging requirements.
Select interface, shutter, pixel format, frame rate and sensor characteristics against the acquisition path.
Define focal length, working distance, depth of field, distortion and optical access.
Create stable feature contrast using geometry, spectrum, polarization and exposure control.
Design triggers, timestamps, bandwidth, buffering and multi-device synchronization.
Match edge compute, enclosure, thermal, power, EMC and installation constraints.
Technical topics support multiple service categories and are combined according to the project architecture.
Integrated imaging, compute and machine-interface design.
Camera modules and edge boards within a product-level envelope.
Imaging hardware for manipulators, mobile robots and intelligent equipment.
Low-light, outdoor, underwater, dusty, vibrating or restricted-installation scenarios.
Each stage produces reviewable information so that technical assumptions, changes and acceptance evidence remain traceable.
Reliable contrast and controlled reflections can reduce ambiguity, missed detections and data demand. The algorithm cannot recover information that the imaging chain does not capture.
Yes, when the customer provides sufficient target, interface and acceptance inputs. A bench test may still be required to confirm the proposed imaging route.
When standard devices cannot meet interface, size, thermal, enclosure, synchronization or integration constraints. The customization boundary should be frozen before detailed design.
Include the target, representative samples, cycle time, accuracy definition, operating environment, interfaces and intended deployment hardware. Feasibility and scope are confirmed after review.