By automotive industrial developed quickly, specially the coming 5G, intelligent vehicle will be the trend for automotive industrial. Cameras is vehile's eye, more and more quirement on automotive camera application, the ADAS application like ACC, LDW have the top security requirement of camera, it will be very important for gurantee the assembly accuracy of those who need for saftey application. Obviously traditional screw thread lens assembly will not be qulified, and active alignment will be the key process for further camera assembly.
From year 2015, Aview started to develop active alignment prototype machine for automotive rear view camera, with every year's upgrade, now we have the 5th generation automoitve active alignment machine. From functions view, we have plasma clean&activation, particle inspection, dispensing glue, weight measuremnt, planarity measurement, lense inspection, active alignment, de-focus measurement etc, support more cameras like 360 surround cmaera, small FOV ADAS forward camera, support alignment lens or pcb.
Aview active alignment equipment already were applied by many China customer, and is top sales amount, longest mass production experience. All of those achievement comes from our focusing to automotive camera assembly and full technology developing, we have automation, optic, hardware, software four core team than other competitor, no matter on customer requirement or response time, we can provide proposal and solution quickly.
| 01 |
Functions |
 |
| |
- Manual/Auto load&unload
- Plasma clean & activation
- Sensor particle inspection
- Auto dispesing
- Vision inspection
- Auto active alignment
- UV pre-curing
- Planarity measuement(Optional)
- De-focus measurement(Optional)
- Lens test(Optional) |
| 02 |
Repeatbility accuracy |
| |
- X, Y, Z: ±0.5um
- θX, θY, θZ: ±0.003°
|
| 03 |
Target Chart |
| |
- Collimator(15~240°)
- Regmark SFR Chart |
| 04 |
AA criterion |
| |
- Alignment time<12s
- Optic center：±1pixel
- Tilt angle:＜0.1° |
| 05 |
UPH |
| |
- 120~144(360AVM)
- 90~100(ADAS) |
To have active alignment ability, we need widely technology from image analysis, optic, algorithm, image grabber hardware, automation integrated technology.
1)image analysis analysis
Image quality can refer to the level of accuracy in which different imaging systems capture, process, store, compress, transmit and display the signals that form an image. Another definition refers to image quality as "the weighted combination of all of the visually significant attributes of an image" --《Image Quality Metrics》
Here we take image quality analysis as the fundamental of active alignment, so obviously one effective and reliable image quality analysis is every important. For a example, automotive surround camera will have sharpness enhanced for finally output image, this is additional method to make image more clear, but is not exact hardware provide, so we need remove sharpness enhance function during alignment process, if can't remove, we need to minimize the sharpness enhance effective by change test enviroment for the theory of image quality analysis.
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2）Optic technology
Since camera is a optic product, and we take lens and image sensor to one related position and lock by uv glue, so optic technology also widely use here.
-optic test enviroment setup, like chart, light source, collimator etc.
-optic theory support for active alignment |
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3）software alogrithm
we use C/C++ to develop active alignment algorithm, we need to develop image real time analysis and motion control to hardware. Our software algorithm will perform as follow points:
-chart recognition, sharpness algorithm
-alignment algorithm
-optic center and de-focus offset algorithm |
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4）image grabber hardware
| It is important to quick and comply image grabber for more and more different interface cameras, and camera's resolution and frame rate become higher than ever, so we developed our own image grabber board for higher requirement for image grabber hardware. |
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5）Automation integration
Automation integration is basic requirement and also very important, machnical reliability and accuracy will directly effect alignment result. To be compatible for more cameras, we take many challenges on automation integration.
Not only we can support different view angle, also different test distance and different alignment method. |
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