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About Us

Our speciality

Redefining Manufacturing with Intelligent AI Quality Solutions

At Eyres, we strive for transformative innovation in manufacturing by using AI-driven digitization of key processes, especially on quality inspection. We enhance the quality control system with advanced computer vision systems rather than relying on human intervention, which may be expensive and time-consuming, redefining efficiency, accuracy, and reliability in precision-critical industries.

What makes Eyres unique is our personalized approach: we begin by identifying your specific challenges and then design custom hardware and software solutions that integrate smoothly. Our strength lies in our ability to combine operational technology (OT) and information technology (IT), which is central to Eyres' value proposition.

Shaping the Future with AI-Driven Innovation

Our AI-driven technology directly addresses the most complex, time-consuming aspects of production, focusing on quality inspection

Reduced Inspection Time

AI Vision Streamlines Inspections, Reducing Manual Effort While Maintaining Exceptional Standards.

Enhanced Accuracy

AI-powered defect detection surpasses human capabilities, ensuring consistency in tough industries.

Minimized Human Error

Automating inspections reduces fatigue and subjective judgment, ensuring reliable quality.

Seamless Process Integration and Scalability

Eyres' AI solutions integrate seamlessly into workflows, enabling industries to scale efficiently while boosting productivity.
01
Use Case

Airbag Deployment

In automotive manufacturing, precise component tracking is essential. During airbag deployment tests, buttons often fly off with no tracking mechanism, posing safety and quality concerns. This project aimed to implement an AI-based video analytics solution to detect and track these flying buttons in real-time.

02
use case

Spindle Part Inepction

In the manufacturing industry of precision engineering, spindle parts should be completely free of defects. Conventional manual inspection is slow and may go wrong, failing to detect major defects. This calls for developing an AI-based vision inspection system to detect and identify defects in die-cast spindle parts

03
use case

Steering Armature

Accuracy and defect-free quality for steering armature parts must be ensured in the automobile industry. The inspection traditionally done manually is time-consuming, and it is incapable of detecting all types of defects. Therefore, the current challenge was to come out with an AI-based vision inspection system.

04
use case

Bearing part

In bearing manufacturing, defect-free parts hold the utmost importance. A traditional inspection method is both slow and error-prone with a tendency to miss defects as small as possible. Therefore, an AI-based vision inspection system was put forward to improve the quality of defect detection and identification in this regard.

05
use case

Wedges Inspection and Assembly

Manufacturing quality and precision for wedge parts is very crucial in the manufacturing process. Its traditional manual inspection and assembly are slow and based on human error. In an endeavor to address these problems, there was a proposal of AI-based vision inspection system to inspect and assemble parts of wedges.

06
use case

Pipe inspection

In pipe manufacturing, excellent quality is demanded. The manual methods of inspection of ID surface defects, welding groove defects, and OD surface defects are slow and error-prone, resulting in most of the times failure to detect critical defects. Hence, an AI-based vision inspection system was considered to be developed in order to perform a holistic 360-degree inspection of pipes.

07
use case

Seat Belt Mech Cover Inspection

Precise angle measurement of seatbelt mechanism covers is critical in ensuring functionality and safety. The current manual inspection process is time-consuming, prone to errors, and inefficient. To overcome these challenges, an AI-based vision inspection system was proposed for high-precision, automated angle inspection.

08
use case

Tyre-Inspection

In the tyre manufacturing industry, product quality is of utmost importance. To ensure that the aesthetic and functional performance of tyres is maintained, inspection is carried out before dispatch. The present inspection is carried out manually by operators who inspect around 750 tyres every day. However, around 1% of defective tyres are not detected and enter the market, meaning thousands of defective tyres in the market every year. This is not acceptable for tyre manufacturers, who value customer satisfaction and product reliability.

09
use case

Roller-cage-part-inspection

Measurement in precision manufacturing and manufacturing of taper roller cage components is essential. There exist time-consuming and inaccurate approaches for traditional manual inspection that usually measures width before and after coinage. To bridge such gaps, an AI-based vision inspection system was introduced.

Our Core Team of Experts

Alex Carter

Marketing consultant

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Anna Jones

Financial consultant

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David Green

Finance strategist

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our clients

Check our best clients & partners

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EXIDE

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IR

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Django

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LRQA

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Address

No.12,3rd A Cross,2nd Main, KSRTC Layout,2nd Phase J.P Nagar, Bangalore South, Bangalore-560078 ,India