Use case of

Saccade Vision

tag
Machinery & Components [MC] including Industrial Automation
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High level customers
A world's leading power electronics manufacturer - pilot in the manufacturing floor for plastic injection parts quality control Euclid Labs (Italy) - joint integration project for a leading German metal forming machines Integro Technologies for one of the world's leading tire manufacturers - pilot
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What Challenges are you solving in this industry

  • Data collection using sensing and imaging [DCSI]

  • Improving Availability and Reducing downtime (i.e predictive maintenance reliability) [PM]

  • Improving Process Productivity/Yield - Asset/Process performance management [APY]

  • Improving Quality (inspection process control) [QI]

  • Process digitalisation and automation [PDA]

Description of solution

Saccade Vision has developed a unique optical 3D inspection solution for the Machinery & Components Industry that is fast, precise, compact and autonomous. This product can be easily integrated inside multiple manufacturing tools, offering instant measurements with high precision (down to 0.01mm), immediate feedback and data collection from 100% of manufactured parts for ultimate predictive analytics. The solution is based on Saccade Vision’s patent-pending technology that imitates human vision by focusing on important parts of the field of view with higher resolution and ignoring non-import parts of the field of view. Part of the flexibility and the ease-of-use of Saccade Vision’s solution is an AI-based automated inspection setup directly from a digital model (CAD) without a need for trained personnel to program the system.

What is the value you bring to your customers?

One of the main points affecting the overall manufacturing yield and the life-long reliability of products is the ability to keep the manufacturing of individual components inside tight specifications in terms of critical dimensions.

Another significant aspect is manufacturing automation, especially when parts that do not fit well one inside the other due to mechanical tolerances. While a human operator may use some additional “force” to make these parts fit, the robot will just stop. That results in lower productivity and eventually may be reflected in the top and bottom lines of the company.

An additional critical need in 100% automated quality inspection is the ability to find the root cause for manufacturing quality issues as fast as possible, eliminate it and restore normal operation. Such root cause analysis, powered by AI, relies on massive high-quality data coming from automated dimensional inspection systems.

Saccade Vision’s fast, precise, and flexible dimensional inspection system addresses the above challenges one by one. It dramatically simplifies the system design and thus cost. It offers unique, patent-pending technology for a more flexible, more accurate, and faster 3D quality inspection:

Flexibility and Ease-of-use:
Local optimization of illumination per feature enables multiple applications on a single Saccade system. The integration of the Saccade Vision sensor is very simple as it does not require any additional motion system.

Precision and Robustness:
Saccade Vision provides local resolution of the 3D point cloud of an order of magnitude better than any comparable solution in the market. Saccade Vision sensor works on stationary objects, eliminating vibration errors and imprecise motion.

Measurement speed:
By focusing only on important locations, we can speed up the data acquisition significantly. Saccade sensor outputs high resolution point clouds only where it is required; The sensor performs calculations using a low power single board computer.

Saccade Vision system was able to demonstrate:
Precision and robustness: all critical dimensions were measured (including dimensions that the customer could not measure reliably with existing solutions); 60% increase in useful measurement data per product,
Measurement throughput: >10x increase in number of samples (UUT) tested in manufacturing,
Flexibility: components from 4 different manufacturing processes measured by the same Saccade Vision device

Time to implementation

3-6 months