Making your technology smarter with
Artificial Intelligence

Our Vision about Artificial Intelligence

Artificial Intelligence (AI) includes a large group of technologies that enable computers, to view, comprehend, operate and learn in order to augment human capabilities. In fact, organizations see the greatest gains when humans and machines work seamlessly to augment each other's capabilities.

Modern industrial engineers typically use predetermined motion time system, computer simulation, along with extensive mathematical tools for modeling, such as mathematical optimization and queueing theory, and computational methods for system analysis, evaluation, and optimization.

Industrial engineers also use the tools of data science and machine learning in their work owing to the strong relatedness of these disciplines with the field and the similar technical background required of industrial engineers.

As the benefits of AI grow every day, so does corporate pressure to adopt it. But in the rush to roll out AI-powered solutions without a broader vision and strategy in place, projects often remain siloed to Proof-of-Concept applications with limited ROI potential.

How do you enable your organization to obtain the full power of AI? By undestanding the opportunities, experimenting hands-on and also adopting your business to it-not just in small pockets, but at scale. It all begins with a strong AI strategy that empowers you to invest in the right systems, build responsible practices, and prepare your business and your people for tomorrow.

Making Industries and Manufacturing smarter with Edge-AI Solutions powered by FogSphere™

The FogSphere platform

At Redev we've developed several AI Industrial Solutions based on our FogSphere platform. FogSphere is based onto two sub-products:

  • FogSphere VX™ is a component of the FogSphere platform meant to run and scale Computer Vision algorithms at the edge using the latest inference acceleration technologies with the GPU/TPU field, like: Nvidia Jetson Nano/TX2/Xavier NX and Google Coral. We've also built our own Edge-AI gateway.
  • FogSphere CX™ is an industrial-grade Data Operation platform, with both Batch and Streaming analytics capabilities on industrial data. It is meant to be fed with your device and sensors data at the edge and provides immediate operational and business outcomes that your IT/OT software products can use for their operations.

Discover FogSphere


FogSphere by Redev is the ideal solution for the industries wishing to embark into their digital transformation process using a single end-to-end solution for their Edge AI, Data Processing and Cloud integration use cases.

FogSphere VX™ and VX-Edge™
Our Computer Vision solution

FogSphere™ VX-Edge


FogSphere VX-Edge™ is a unique, hardware accelerated, Edge-AI platform by Redev Technology, targeting Computer Vision use-cases in Commercial and Industrial production applications. It comes with a dedicated hardware and a cloud management platform (that can be deployed also on-premise).

Industrial Applications

Edge-AI & Computer Vision AI Solutions


Closely tied to industrial robotics, computer vision applications for AI in the industrial space most often involve visual inspections. Artificial intelligence has two obvious advantages over humans when it comes to visual inspection: speed and accuracy. A computer vision system using cameras that are more sensitive than the naked eye and augmented with AI can identify microscopic defects that human inspectors might miss at a rate they cannot hope to match.

At Redev we've developed several AI Industrial Solutions based on our FogSphere Vision-X™ platform to run and scale algorithms at the edge using the latest inference acceleration technologies with the GPU/TPU field, like: Nvidia Jetson Nano/TX2/Xavier NX and Google Coral.

Edge Analytics & Predictive Maintenance


Manufacturers leverage AI technology to identify potential downtime and accidents by analyzing the sensor data. AI systems help manufacturers forecast when or if functional equipment will fail so its maintenance and repair can be scheduled before the failure occurs. Thanks to AI-powered predictive maintenance, manufacturers can improve efficiency while reducing the cost of machine failure.

Edge analytics provides fast and decentralized insights from data sets collected from sensors on machines. Manufacturers collect and analyzed data on edge to reduce time to insight. Edge analytics has three use cases in manufacturing:

  • Improving production quality and yield
  • Detecting early signs of deteriorating performance and risk of failure
  • Tracking worker health and safety by using wearables

Industrial Robotics


Industrial robots, also referred to as manufacturing robots, automate repetitive tasks, prevent or reduce human error to negligible rate, and shift human workers' focus to more productive areas of the operation. Applications of robots in plants vary. With the addition of artificial intelligence, an industrial robot can monitor its own accuracy and performance, and train itself to get better. Redev supports manufacturers to equipe robots with machine vision to help robots achieve precise mobility in complex and random environments.
Cobots are another robotics application that uses machine vision to work safely alongside human workers to complete a task that cannot be fully automated. Feel free to learn more about cobots with our comprehensive guide.

Quality Assurance


Quality assurance is the maintenance of a desired level of quality in a service or product. Assembly lines are data-driven, interconnected and autonomous networks. These assembly lines work based on a set of parameters and algorithms that provide guidelines to produce the best possible end-products. AI systems can detect the differences from the usual outputs by using machine vision technology since most defects are visible. When an end-product is lower quality than expected, AI systems trigger an alert to users so that they can react to make adjustments.

Inventory Management


A digital twin can be used to monitor and analyze the production process to identify where quality issues may occur or where the performance of the product is lower than intended. Digital twins allow manufacturers to gain a clear view of the materials used and provide the opportunity to automate the replenishment process

FogSphere VX-Edge is a pioneer in industrial image recognition for anomaly detection and predictive maintenance.

FogSphere VX-Edge provides high precision problem identification, pattern recognition, object identification and much more to be used in the most challenging of the manufacturing use-cases.

Trough our algorithms we enable simplified visual problem detection for operations and assets typical of the Oil & Gas world.


Electronic Materials

Electronic materials are the type of materials which are typically used as core elements in a variety of device applications. These elements can be, for example, memories, displays, LEDs and could be easily seen in daily electronic gadgets such as mobile phones, computers, laptops, tablets, GPS devices, LED bulbs, TVs and monitors.

Power systems

Electrical power has been the technological foundation of industrial societies for many years. Although the systems designed to provide and apply electrical energy have reached a high degree of maturity, unforeseen problems are constantly encountered, necessitating the design of more efficient and reliable systems based on novel technologies.

Auto parts

The automotive aftermarket is the secondary market of the automotive industry, concerned with ... Replacement parts are automotive parts built or remanufactured to replace OE parts as they become worn or damaged.