Adding automated focus - New Scale Technologies

Adding automated focus - New Scale Technologies
 FOCUS ON: CAMERA DESIGN
Adding automated focus to biometric, medical, and industrial micro cameras Considerations in selecting the sensor, lens and lens motion system, and putting it all together By David Henderson and Dan Viggiano III New Scale Technologies We all are familiar with the consumer digital cameras that are in our pockets, mobile phones and personal computers. Thanks to incredible advances in microelectronics, CMOS image sensors Camera system from D3 Engineering integrates New Scale and optics, most of us have a very good Technologies’ M3‐F focus module and Texas Instruments DSPs.
camera within reach most of the time. ypically, biometric, medical, and industrial Now these tiny cameras are inspiring imaging applications need high‐resolution product engineers in “non‐consumer” images. This generally means the need a applications—such as biometric digital sensor with more than 5MP and a sharply focused image of the subject. Usually the subject is identification, medical and diagnostic less than one meter from the camera. devices, and machine vision—to make even greater products. In fact, markets for these A camera with a fixed lens produces images that are new applications are projected to grow faster always a compromise in focus for a wide range of than consumer camera markets over the next subject distances. For these markets, this compromise is simply not good enough. few years. If a camera has a fixed lens the subject must be In this article we discuss sensor and lens moved relative to the camera to achieve a sharp requirements, compare the M3‐F focus focus. For example for iris scanning the person must module to voice coil motors and stepper move forward and backward in front of the camera until a valid and in‐focus image is captured. motors, and talk about image processing, Another example is barcode scanning where the digital signal processing and other system operator must move the camera relative to the considerations. T
barcode until a valid data capture is achieved. Adding automated focus to biometric, medical and industrial micro cameras | 2 For industrial and medical imaging the optical requirements are typically a smaller field of view and a shorter depth of focus, which makes it even harder to position the subject. So whether it’s imaging a face or iris for biometric ID or sample scanning for medical diagnostics, manual positioning to achieve “best focus” is time‐consuming, not user‐friendly and produces lower quality images. When you add precise lens movement to your camera, you can automatically focus the image with less need to carefully position the subject. The camera will have higher throughput with the ability to capture images faster, it will have greater usability, and it will deliver higher image quality at the same time. So what does a system design engineer need to know in order to create a focus camera for these applications? It’s basically a three step process. Selecting the image sensor The first step is selecting your image sensor. There have been great advances in CMOS digital image sensors driven by consumer applications. This industry produces more than 1 billion sensors per year which has created opportunities for even more growth in the “long tail” of non‐consumer applications. Selecting the best image sensor for your application requires close discussions with leading CMOS sensor suppliers including Aptina, OmniVision, and SONY Digital. Some of the most important parameters to consider include: 
Your targets for image resolution and camera size. These will determine the number of pixels and size of pixels you will need in the sensor. Today very high quality sensors are available with more than 5 MP in a 1/3” format. 
Your need for color vs. monochrome imaging. 
Your need for visible or infrared sensing. 
Your lighting conditions. These will determine the pixel requirements for light sensitivity and dynamic range. Selecting the optical lens The second step is selecting the optical lens. Advances in polymer and glass optics have kept pace with digital image sensors. Optical engineers today can select from many high quality polymer materials in addition to traditional glass materials. In general, molded polymer lenses are used for the highest volume and lowest cost cameras while not sacrificing quality. Some of the more important optical parameters you need to consider include:  wavelength of light (visible or infrared)  % transmission  F#  back focal length (BFL)  total track length (TTL)  point spread function (PSF) A good optical company can help you design the best possible lens for your system. For example New Scale often works with Sunex optical engineers in California (www.optics‐online.com), who help our Image sensors are increasingly used in non‐consumer camera applications including military, security and surveillance, machine vision, medical and more. Adding automated focus to biometric, medical and industrial micro cameras | 3 camera customers source the lens assembly that best fits their requirements. Typically using a standard M12 threaded lens and barrel assembly we can quickly specify a lens that will be compatible with a 1/3” sensor in less than an 8 mm dia. and total track length less than 7 mm. Inside this assembly are 4 or 5 optical elements of molded glass or polymer. The front aperture lens captures the light and a sequence of carefully aligned lens elements bends this light into a flat field of focus on the image plane of the digital sensor. Example lens assembly (courtesy Sunex) The distance of the lens assembly from the focused image plane changes as the distance of the subject from the camera changes. Thus, by precisely moving the lens assembly, you can focus the subject precisely on the image plane. Selecting the focus solution Now that you’ve identified the image sensor and the lens assembly, you’re ready to add focus to your camera solution. This can be as simple as adding the M3‐F focus module into your camera. M3‐F focus module from New Scale Technologies Lens assemblies from Sunex (www.optics‐online.com)
Focus requires precise movement of the lens assembly relative to the image sensor. Precision movement includes two components: Micrometer‐
scale motion of the lens assembly relative to the image sensor, and precise control of the tip and tilt of the lens as it is moving. The M3‐F focus module is best‐in‐class in both of these measures. The M3‐F also offers a number of additional benefits. It provides the most precise focus in the smallest size for your imaging system. Compared to voice coil motors (VCMs) the M3‐F:  is smaller  moves a larger lens  provides more stroke  achieves greater precision  has faster step and settle time  is more reliable over a wider temperature range and in high‐shock environments The M3‐F performance also exceeds stepper motor solutions in all categories including size, lens mass, stroke, and precision and robustness. Parameter M3‐F VCM Stepper Motor Lens Mass
5 g 0.2 g 1 g Relative Size
1 1.5 2 Stroke
> 3 mm 0.3 mm 3 mm Resolution
0.5 μm 5 μm 20 μm Repeatability
5 μm 20 μm 40 μm Accuracy
30 μm 40 μm 0 μm Dynamic Tilt
< 0.1 deg 0.3 deg 0.2 deg The M3‐F focus module out‐performs voice coil motors and stepper motors for non‐consumer camera applications. Adding automated focus to biometric, medical and industrial micro cameras | 4 Additional system considerations Your auto focus camera system design is nearly complete. You have selected the image sensor, the optical lens assembly and the motion module for your camera system. Integrating these together, you have one final step: to consider the software and hardware needed for your image pipeline. Some image sensors are already integrated with an ISP or image signal processor. An ISP will include such things as your video or image analytics, interface with your hardware, and the The piezoelectric M3‐F focus module has faster step and settle interface with the M3‐F module. It may also time than a voice coil motor. include an autofocus algorithm. New Scale partners with image processing specialists The auto focus algorithm measures the relative such as D3 Engineering (www.d3engineering.com) “sharpness” of the image just captured. The typical who work with advanced digital signal processors from output is a unit‐less number that indicates the relative Texas Instruments. These DSPs integrate focus of some subset of the total image. Using this video analytics and image capture analytics, as well value, many options for finding the best focus position as interfaces directly with the M3‐F to provide of the lens may be used. autofocus capability in camera solutions. For example, one popular method is a “hill climbing” Conclusion algorithm. After each move, a new image is captured Exciting new applications for biometric, medical, and the new sharpness value compared to the and industrial imaging are emerging every day. previous sharpness value. After several iterations the These new opportunities are possible because of the best focus position of the lens is found and maintained availability of higher‐resolution image sensors, by the M3‐F. polymer optics, faster microelectronics, advanced software and New Scale’s M3‐F focus module. All focus algorithms require position commands be Contact us for help in creating the optimum sent to the M3‐F, requiring a tight interface and autofocus imaging solution for your product. integration between your ISP and the M3‐F module. Contacts New Scale Technologies Victor NY, 14564 Phone +1 (585) 924‐4450 www.newscaletech.com Sunex Carlsbad, CA 92010 Phone +1 (760) 597‐2966 www.optics‐online.com Camera system from D3 Engineering with New Scale’s M3‐F focus module with advanced digital signal processors from Texas Instruments. These DSPs integrate video analytics and image capture analytics, as well as interfaces directly with the M3‐F to provide autofocus capability. D3 Engineering Rochester, NY 14623 +1 (585) 429‐1550 www.d3engineering.com 
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