Tech Breakthroughs are Core of FotoNow
FotoNow uses cutting edge deep learning, computer vision, fluid dynamics, and photography technology to deliver above 99% accuracy for fault inspection.
Traditional solutions claim to have AI and deep learning models, but, in real-life production environments, they fail. Existing solutions can’t handle varying light conditions, small spaces, and heavy vibration that are common in most factories. Hardware-based competitors can only provide academic or research models. In contrast, FotoNow has developed real-world models that are designed and tested to work under genuine manufacturing environments. Our focus on customer success delivers results with more than 99% accuracy. In contrast to traditional visual quality systems, that provide sub-par results that are insufficient to support their manufacturing operations.
Image Data Collection
We have developed sophisticated algorithms that combine techniques from fluid mechanics, deep learning, and computer vision to effectively handle manufacturing processes that include motion and vibration to capture a crisp sharp image.
Our proprietary image enhancement technology incorporates super-resolution and deep learning algorithms to significantly increase image quality and resolution, boosting our inspection accuracy.
Defect Detection & Notification
We are able to inspect all defects in the camera’s field of vision by employing deep learning in combination with advanced segmentation and PoseNet models. Subsequently, relevant team members are notified about defects in real-time by email, SMS, or 80+ built-in industrial connectors.
Our solution’s technical architecture consists of modular micro-services design. Each microservices is orchestrated into a recipe which yields the best performance for the specific type of fault inspection
For challenges like high-frequency vibrations, changing light, and color irregularities we created proprietary technology to yield optimal results in harsh conditions.
To fully exploit the technical capabilities of mobile devices, which have limited power and computing resources, we employ optimized device drivers to ensure 100% coverage quality inspections.
Optimized Bandwidth Usage
We have optimized algorithms for the connectivity of inspection devices to MES/ERP/Cloud-connections to save the bandwidth of data usage
We find a sweet spot for complex computations and bandwidth usage for quality gates using distributed computing IOT algorithms.
Self Service Setup
To immediately harness benefits from quality gates, we have implemented a self-service setup which requires minimal IT knowledge to configure complex inspections.
Enhancing Image Quality
We have developed image enhancement and resolution algorithms to yield state-of-art performance even when using older mobile devices.
Our smart meta-data extraction algorithms enable an interconnected and interoperable digital factory of the Industry 4.0 era.
Effortless integration with major cloud vendors, ERP’s, and MES’s enables an agile system setup process and configuration for immediate fault notification.
We have trained intelligent pattern recognition algorithms on over 200 million quality data points to make fault inspection possible like never before
FotoNow has built-in integrations with major cloud vendors including Microsoft Azure, Google Cloud, Amazon Cloud Services, major enterprise resource planning systems, manufacturing execution systems, information management systems, SCADA/ HMI, etc. If some integration is not yet supported by FotoNow, our development team can easily implement it to facilitate the deployment process.
From image acquisition to fault inspection to integrations; FotoNow supports an end to end self-service deployment process with minimal IT knowledge required.
FotoNow deployment is supported on major cloud vendors including Microsoft Azure, Amazon Web Services, Google Cloud, and being hosted on premises. Thanks to our expert and certified team from all major technology providers (Microsoft, Google, Amazon, Oracle, etc), we tend to keep our product updated in regards to delivering the best performance and maintaining state of art security protocols
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