86 results on '"Wilson, Andrew"'
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2. Scanning sensors: measuring the three-dimensional shape of complex objects allows shape and volume measurements to be more easily attained by robotic systems
3. Neural networks at work: computational methods that model neurons in the brain are being used in machine-vision and image-processing applications
4. Capture the speeding web: using a variety of CCD and CMOS imagers, linescan cameras are tackling high-speed web applications with increased accuracy
5. Industrial strength infrared: infrared line-scanners are now being deployed in high-speed web applications ranging from paper manufacturing to glass production
6. Match game: careful attention must be paid to the choice of optics when selecting a high-resolution linear or area-array camera
7. Dynamic design: to increase the dynamic range of their devices, CCD and CMOS sensor designers are using a variety of different architectures
8. Colors everywhere: different sensors, color models, and algorithms offer developers multiple ways to implement machine-vision systems
9. Capturing the moment: before specifying a high-speed camera, system developers should carefully consider their applications
10. Picking a camera with punch: offloading image-processing tasks to DSPs is allowing vendors to increase the performance and lower the cost of smart cameras for numerous applications
11. Seeing red: choosing an infrared camera requires an understanding of both IR detector technology and the nature of each application
12. Technical color: high-resolution linescan cameras use multichip designs and prisms to improve color fidelity
13. Digital cameras vie for multispectral applications
14. Software adds upgraded edge detection
15. IR cameras tackle PCB inspection applications: IR cameras are finding applications in PCB analysis to detect shots and thermal anomalies
16. Smart sensors vie for vision applications: smart sensors can provide the functionality needed for simple, low-cost machine-vision applications
17. Smart cameras look for smarter uses: the market is fragmented among processors, available software, and time required to develop a system
18. CMOS cameras find a niche: in applications that demand high speed and high dynamic ranges, CMOS cameras can outshine their CCD counterparts
19. Machine vision seals beer-barrel integrity: off-the-shelf lighting, automation, and machine-vision components check the integrity of beer-barrel seals
20. Graphical icons help speed system design: linking a series of graphical image-processing operators improves the development of image-processing and machine-vision systems
21. GigE cameras to adopt AIA standard: camera vendors are readying products to support the latest AIA GigE standard
22. Coherency-based stereo adds new dimension to machine vision
23. Vision system automates catheter manufacture: controlling the pitch and stiffness of medical coil windings allows custom catheters to be manufactured with precision
24. Algorithms breathe life into software: by adding new features to existing software, vendors allow system integrators to tackle various machine-vision applications
25. Intuitive software speeds system development; icon-based software tools make it easier and faster to build machine-vision systems
26. On-line inspection ensures needle quality: off-the-shelf cameras and machine-vision software measure pharmaceutical-needle sharpness
27. Intelligent cameras embed new low-cost functions: vendors are tailoring their smart cameras to meet a range of applications with embedded sensors, processors, and networking capabilities
28. Peripherals team to test microdisplays: off-the-shelf PC-based image-processing and motion-control components rapidly analyze LCOS microdisplays
29. Robots/vision add flexibility to auto-part manufacturing; layered bin picking uses robots, cameras, computers, and software to increase the productivity in factory-floor environments
30. Smart controllers intensify LED lighting: by choosing the correct combination of LED lighting and controllers, systems integrators can solve illumination problems
31. Robots and vision assemble diagnostic devices: pregnancy test kits are inspected and assembled in a series of work cells
32. Frame-grabber options widen as digital networks take hold: pushed by a variety of analog and digital cameras, frame-grabber vendors are broadening their offerings
33. Automated 3-D imaging speeds firearms analysis: vision system uses off-the-shelf imagers, frame grabbers, motion controllers, and positioning systems
34. FireWire cameras add networking to vision: thanks to the IEEE 1394 interface standard, networked FireWire cameras in machine-vision systems offer plug-and-play interoperability. (Product Focus: Smart Cameras)
35. DARPA seeks single-sensor image fusion
36. High-speed, high-resolution images captured simultaneously
37. Robotic system mimics human inspection tasks: multicamera vision system performs surface-defect detection, OCV, and dimensional measurement on specialized parts
38. Vision and robots rack auto parts
39. Vision system sorts cotton at high speed: linescan cameras and FPGA-based custom hardware team up to separate contaminants from raw cotton
40. FireWire cameras tackle linescan applications
41. Digital video recorder captures Camera Link images
42. Scanners use light projectors for fast 3-D image reconstruction
43. Cross-sectional scanning system speeds inspection of molded parts
44. Spatio-temporal imaging mimics animal behavior
45. Software overcomes display artifacts in digital image transfer
46. Vision systems tackle fingerprint analysis
47. Vendors benefit from document-validation systems
48. GPUs battle for imaging applications
49. Inspection sensors incorporate machine-vision functions
50. Imagers speed holographic-data retrieval: micromirrors and CMOS imagers combine to write and read digital data
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