Part Industrial Intelligence Center

No. 34, 2nd floor, Nastaran Alley, Majd Street, Shahid Hassan Tehrani Moghadam Square, Tehran, Iran
009821-74318209
(Ext:2209) 74318000-009821

Application of artificial intelligence in smartening production processes from design to final product inspection

About us

Part Industrial Intelligence Center

Part Industrial Intelligence Center (legally registered as Data Mining Industrial Intelligence co.pjs.) is a knowledge-driven company backed by the largest pool of AI expertise in the industry. With over 100 ready-to-use AI services (available at https://api.ivira.ai) we are committed to intelligent production processes — from design to final quality inspection. Our mission is to empower industries and mining sectors in their digital transformation journey by integrating Artificial Intelligence (AI) and the Internet of Things (IoT). Through cutting-edge solutions, we help businesses realize the vision of smart factories and connected mines, driving efficiency, innovation, and sustainable growth.

Vira

AI Cloud Services

The Fourth Industrial Revolution

The Fourth Industrial Revolution: Powering Smart Industries

The Fourth Industrial Revolution (Industry 4.0) represents the integration of advanced smart technologies into traditional industrial and manufacturing processes. At its core, this transformation is driven by cyber-physical systems — where physical operations, computing, and networking converge—enabling industries to become smarter, more efficient, and highly adaptive.

By embracing Industry 4.0, businesses can optimize production efficiency, product quality, profitability, reliability, safety, and security, ensuring peak performance across all operational metrics.

Digital Transformation & AI: The Foundation of Smart Industry

Digital transformation serves as the backbone of the Fourth Industrial Revolution, with Artificial Intelligence (AI) acting as the key enabler. As industries adopt AI-driven solutions and connect machinery, equipment, and systems to cloud-based or internal networks, they unlock:

Higher productivity & superior product quality
Reduced operational costs & minimized waste
Faster, data-driven decision-making

Real-World Impact: AI in Manufacturing

Take the steel industry, for example: AI-powered machine vision and deep learning can instantly detect and classify defects in products during production. This real-time analysis logs defect data in a centralized dashboard while triggering instant alerts to operators—preventing further defective output and significantly enhancing overall product quality.
By implementing these intelligent systems, manufacturers not only reduce waste but also ensure consistent, high-quality production—proving that AI and Industry 4.0 are revolutionizing industrial efficiency.

Application of artificial intelligence in industry

Predictive maintenance and repairs

The most common use of industrial AI is in “predictive maintenance,” which uses advanced analytics and machine learning to determine the condition of a single asset or a set of assets (such as turbine in a factory).

Inspection and Quality Control

The largest use of industrial AI is in “predictive maintenance” (estimated to account for over 24% of the total market in 2018). Predictive maintenance uses advanced analytics such as machine learning to determine the condition of an individual asset or a collection of assets (such as a plant).

Production Process Optimization

Perhaps the most obvious use of AI is in the optimization of automated manufacturing processes. This optimization often uses autonomous machines and robots with reinforcement learning techniques and neural networks to eliminate the repetition of human tasks and reduce costs.

Supply Chain Optimization

One of the fundamental applications of AI is in supply chain optimization. Predictive inventory management uses predictive analytics to reduce planning time, minimize inventory costs, and optimize orders.

Cybersecurity and Privacy

Artificial intelligence in cybersecurity and privacy protection addresses cyber threat detection. This includes observing network infrastructure and real-time detection of cyber attacks, as well as activities such as network traffic analysis and end-to-end network response.

Automated Physical Security

Physical threat monitoring and detection involves real-time monitoring of production sites or workers to automatically detect physical security threats or potential safety hazards.

Automatic Resource Discovery

In the mining and quarrying industries and the oil and gas industries, automated resource exploration is a technique for analyzing and processing large amounts of imagery (such as radar, satellite, or drone imagery) to identify the optimal point for resource extraction.

Automated Data Management

With information commonly stored in different systems and locations, it is difficult to access data quickly and comprehensively. Therefore, some industrial companies are starting to use data management solutions that perform tasks such as data collection, data filtering, data cleansing, and data integration in real time.

Smart Assistants

One example of AI assistance in manufacturing settings is voice assistants. Integrating voice assistant technology into industrial monitoring systems allows for real-time information to be provided to workers without the need to program explicit commands or print lengthy reports.