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Archive for the ‘Machine Vision’ Category

Mega Pixel Machine Vision Lenses

Friday, January 22nd, 2016

Mega pixel machine vision lens have now become even better with the latest production technology gained from Pentax single reflex camera systems. 5 Mega pixel 2/3″ ultra high resolution that minimize distortion and give up to 40 per cent more light distribution, compact in design for those small vision system requirements that have limited space for the vision system to fit in.

Ultra High Resolution with High Contrast

Pentax high resolution, high contrast and high resolving power 140LP/mm from centre to corners, clear and sharp image with high contrast even at the corners.

The new Mega pixel lens feature 12mm, 16mm, 25mm and 50mm and are ideal for the diverse machine vision application.

Advanced Design and Development Philosophy:

By meeting and sharing information with CCTV camera manufacturers, and based on the market demands, PENTAX continuously develops and introduces advanced products. The development of lenses for 1/2″and 1/3″ format size corresponding to the miniaturization of sensors and adoption of CS mount prior to the industry contributing to the reduced size and higher efficiency of cameras is an example of our insight and development ahead of the industry trend

Compact, High Quality and Performance

Advanced optical technology of PENTAX has been condensed in a compact and lightweight body. With the careful inspection of prototypes and strict quality control in the production process, PENTAX provides high reliability that fulfills customers’ demands by the thorough pursuit of high quality and performance.

Minimize Distortion

Reduced distortion to the minimum 1 per cent lens optical distortion at diagonal 0.2 per cent or less T.V. distortion, very suitable for image measurement.

Abundant Light Distribution

Evenly bright and high resolution image from centre to the corners and fast aperture F1.4 40 per cent more light available than the other none mega pixel lens.

1. Ultra high resolution compatible for most mega pixel cameras.
2. Less distortion.
3. Best optical performance for short distance objects.
4. Focus and iris lock screws and 4mm long c-mount threads reliable against vibration and shock.
5. Compact in design with maximum diameter of 42mm, compatible with 3.45 micron.

Meeting Diversified Surveillance and Imaging Demands

Along with a wide variety of standard lenses, the PENTAX product line up includes UV sensitive lenses, high speed zoom lenses for security systems, machine vision lenses designed for close focus, lenses for board cameras, and lenses for Image Recognition and more. Whether it’s in a bank, traffic, office, factory or Laboratory

Machine Vision Applications

Are ever growing and are playing an important role in major industries where higher level or quality assurance and zero defect is expected the important roles include surface inspection, completeness checks, measuring, defect detection, robot vision for automated production and many more vision applications..

Industrial Robotics – An Eye For Machine Vision

Saturday, October 10th, 2015

Industrial robots accomplish tasks such as painting, welding, assembly, and merchandise inspection with speed and precision. They are doing not tire like humans and perform repetitive actions reliably while not obtaining bored, which ends up in high productivity at a coffee cost. These attributes build industrial robots invaluable to manufacturers in many industries.

Some industrial robots do repetitive actions while not variation, such as in typical ‘decide and place’ applications. These actions are determined by programmed routines that specify the direction, velocity, acceleration, deceleration, and distance of a series of coordinated movements.

Alternative robots use machine vision systems to perform complicated tasks, like weld inspection and optimization within the automotive industry. These typically involve elaborate actions and motion sequences, that the robot could even have to spot itself.

Machine vision systems comprise high-resolution cameras linked to powerful image processing software. They make for economical handling and management, and work while not damage even underneath demanding manufacturing conditions. Machine vision systems achieve high success rates, and guarantee smooth production while not manual intervention or supervision, even in unpleasant environmental conditions.

Machine vision has a wide range of applications in industrial automation:

2D Robot Vision

2D vision systems use line-scan or space-scan cameras to capture photographic pictures that contain width and length, but no depth. By processing these pictures, they measure the visible characteristics of an object, and feed robotic handling systems knowledge on its position, rotational orientation, and type.

The automotive trade uses 2D vision systems to choose heavy gearboxes from cages, unload cylinder heads from wire mesh boxes, identify axle castings, and detect the position of slide bearing shells.

Automated 3D Position Detection

3D vision systems detect the position and form of an object in 3 dimensions using specialised cameras and lasers. They determine the place to begin, overall length and rotation of a part, and transmit this data to industrial robots for fast and efficient handling. 3D vision systems enable the automated, reliable handling of different sized objects.

A common application for 3D vision systems is the production of crankshaft castings within the automotive trade, where they instruct robots to position castings prepared for the next stage of assembly.

Assembly Inspection

Correct part assembly is crucial to any manufacturing process. Poorly assembled elements lead to malfunctioning, unsafe products. Machine vision systems equipped with quick, mounted focus cameras and LED illumination continuously examine components throughout assembly to verify the presence of characteristic features, and instruct robots to get rid of defect items from the production line.

Characteristic options embody screws, pins, fuses, and alternative electrical components. Machine vision systems also check for missing slots or holes, which will forestall correct assembly. Inspection takes simply seconds, even with a huge selection of different components, permitting manufacturers to maintain high levels of efficiency and productivity.

Machine vision systems for assembly inspection have a wide selection of applications. These embody checking vehicle parts within the automotive business, verifying fill levels in blisters, chocolate trays, and powder compacts, and making certain correct label positioning on boxes.

Contour Inspection

Machine vision systems for contour inspection examine the profile of an object using high-resolution cameras and 3D sensors to confirm it’s free from deviations (e.g. chips), that affect the shape and thus the function of the product. They additionally check measurements such as length, width, and radius to ensure they are among set parameters.

Pharmaceutical firms use machine vision systems in automated production lines to inspect injection needles, that are unusable if blunt or bent. Multiple cameras photograph needles as they flow through the system on powered conveyors. Sophisticated laptop software analyses the captured images to work out needle sharpness and check the contour of the tube. Industrial robots use this info to separate and discard defect needles.

Injection needles’ size makes them virtually impossible to examine with a naked eye. Machine vision systems will examine forty needles per minute with 100% accuracy, speeding up production and reducing costs. Other contour inspection applications include concentricity checks of spark plugs for petrol engines, the measurement of coating structures on capacitor foils, and tooth inspection of saw blades.

3D Seam Inspection

Poorly welded components break, causing products to fail. In the case of automobiles and aeroplanes, this often has disastrous consequences and costs lives. Robotic weld seam inspection and optimization is currently the quality in several industries.

Machine vision systems for weld inspection comprise a sensor mounted on a robotic arm. A laser within the sensor projects a line of sunshine across the surface of a component joint, a way called laser triangulation. At the identical time, a high-speed camera, additionally housed within the sensor, captures an image of the road as an elevation profile. Through the relative motion of the component and the sensor, the system builds a 3D image of the welded seam surface.

Using this image, a pc checks the seam’s consistency along its length. It accurately detects imperfections like profile variations and pores, that weaken the joint, and instructs a robotic burner to remodel or repair seams if necessary.

Machine vision systems store inspection leads to a database along with serial numbers, which makes components easy to trace. They work on multiple seams of various types, shapes and sizes, and operate at high speed. The automotive industry uses automated weld inspection and optimization systems extensively to make sure vehicles are of high quality and safe to drive.

Conclusion

Machine vision systems have a wide range of applications in industrial automation. They permit industrial robots to perform advanced tasks reliably and accurately, and allow corporations to attain previously not possible levels of potency and productivity. Machine vision has developed significantly during the last 10 years and is now essential to many industries..