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Inspekto Introduces Second-Generation of Autonomous Machine Vision Systems - CIOReview

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The S70 Gen.2 is powered by Autonomous Machine Vision AI (AMV-AI), which allows for more use cases and effective quality inspection in difficult applications, including highly reflective fabrics, moving parts, and vibrating platforms.

FREMONT, CA: Inspekto, the global company that pioneered Autonomous Machine Vision, introduced the INSPEKTO S70 Gen.2, a new and improved version of its famous Autonomous Machine Vision (AMV) system industrial quality inspection. The S70 Gen.2 is powered by Autonomous Machine Vision AI (AMV-AI), which allows for more use cases and effective quality inspection in difficult applications, including highly reflective fabrics, moving parts, and vibrating platforms.

“Inspekto has always supported the idea of democratizing quality assurance,” said Yonatan Hyatt, CTO, Inspekto. “What excites us is that the S70 Gen.2 allows also small manufacturers to enjoy the benefits of automated quality inspection, without losing their agility and flexibility. Until not long ago, such technologies were reserved for large corporations.”

The INSPEKTO S70 Gen.2 retains its speed and ease of installation while allowing for high-quality inspection in a broader range of scenarios. Unlike conventional machine vision solutions, the S70 Gen.2 is an off-the-shelf edge platform that users can mount in as little as 45 minutes, even though they have no prior experience with machine vision or artificial intelligence. The simple setup method only requires an average of 20 to 30 OK (good) sample items and no NOK (defective) ones, implying that there is no need for preparation, data labeling, or annotation to construct an immediate Proof of Concept (POC).

The latest version of Inspekto’s flagship edge device retains its user-friendliness while adding new and enhanced features. The first is the ability to use the device in a larger range of scenarios. AMV systems are universal. They contain both the requisite hardware and software. They can inspect a wide range of parts and use cases, unlike conventional machine vision solutions, which are designed as a project from different components and set to inspect only a single use case. The ability to accurately inspect highly reflective components, such as metals and plastics, has been added to this innovative function.

The S70 Gen. 2’s built-in 5000K LEDs, operated by pulse-width modularization and arranged in several distinct regions, enable the device to monitor the direction of illumination autonomously and take several images with varying light directions and intensities. These are then combined to produce a single HDR image with no reflections.

“With the S70 Gen.2, manufacturers of all sizes, in many industries, can reap the benefits of machine vision that feels like magic, but is actually based on the most state-of-the-art AI and computer vision technologies,” said Ofer Nir, CEO, Inspekto. “This new generation of S70 systems further expands the capabilities of our proven solution, enabling agile, reliable and cost-effective quality assurance in applications where it was previously impossible. It truly is a new age for machine vision.”

Another unique feature of this patent-pending technology is that it was created so that no flickering or light variation is visible to the naked eye. Workers standing nearby would not be affected by abrupt light shifts as a result of this. Without requiring human interference, the device changes parameters such as exposure, iris, illumination regime, or the sequence of images used to generate the final and optimized image if necessary.

The S70 Gen.2 also has a better vibration detection and resolution mechanism and the ability to inspect moving objects at speeds up to 0.75 meters per second. Another advantage is that the inspection cycle time has been reduced to less than 0.5 seconds in most situations, allowing the machine to inspect up to three parts per second.

The second generation of AMV systems is focused on ongoing research and development in the field of AI for Autonomous Machine Vision (AMV-AI). This is a one-of-a-kind neural network formulation and architecture created to fully replicate the human cognitive vision process. AMV-AI is powered by three AI-based engines that work together. The first is the acquisition AI engine, which is in charge of dynamically modifying the electro-optical imaging system’s operating parameters in real-time to support multiple vision tasks.

After a single input sample, the detection and alignment AI engine is in charge of identifying, classifying, and 3D aligning any object within the acquired image. This engine enables the system to recognize parts in a live video stream and determine the best time to acquire an image, enabling the system to complete the final task–inspection, which is handled by the third AI engine.

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