Industry 4.0
Industry 4.0 represents a new era of digitalization, automation, and data-driven operations in manufacturing. Intelligent systems, IoT devices, and real-time data processing enable more efficient production and faster decision-making. Through our solutions, we support the optimization of manufacturing processes, cost reduction, and continuous quality improvement.
Industry 4.0 Solutions for the Future of Manufacturing
With Delta Systems Ltd.’s digitalization and automation solutions, your company can take production to the next level — ensuring efficiency, flexibility, and future-ready operations.
Industry 4.0 transforms manufacturing processes through the integration of modern technologies. By leveraging intelligent machines, IoT devices, and real-time data processing, companies can operate faster, more accurately, and more cost-effectively. Our solutions support production optimization, quality improvement, and the long-term preservation of competitiveness.
Delta Systems Ltd.
Solutions
Our product portfolio includes all the tools and solutions essential for the efficient operation of a modern office and enterprise. We offer a wide range of printers, networking devices, software, and accessories — enabling our clients to find everything they need in one place. When selecting products, we focus on reliability, durability, and cost efficiency.
Our goal is to provide our partners with technologies that ensure smooth day-to-day operations and support stable, long-term business performance.
Automation Solutions
Design and construction of robot cells and custom machinery
Design and installation of robot motion control (robot guidance) systems
Complete automation design, implementation, and maintenance
Design of production lines, machines, and conveyor systems
Retrofit, redesign, and modernization
Process optimization and efficiency improvement
Predictive fault detection
Programming of field devices
PLC and HMI programming
Conveyor system modifications
Machine safety and industrial safety systems
Risk analysis and assessment
Safety inspections, overrun time measurement, and consulting
Implementation and system integration
Pick & Place systems – for bulk or conveyor-based goods
Professional training programs
Industrial sensor technologies
Optical measurement systems for road and railway applications
Track & Trace solutions and their physical infrastructure
Robot control systems
Facility Management Solutions
Full integration of building engineering control systems
Energy monitoring and schematic analytics
Control and integration of HVAC (Heating, Ventilation, Air Conditioning) components with existing systems
Lighting control solutions
Integrated security systems
Machine vision–based intrusion detection
Location-based heatmaps and hotspot identification
Ride-sharing systems
Desk-sharing management
Indoor navigation systems
AI-driven facility operation optimization
Peak consumption management
Reserve capacity optimization
Forecasting of optimal contracted capacity
Logistics Solutions
Track & Trace systems with barcode, 2D code, and RFID tracking
Sorting and distribution solutions
Autonomous transport robots (AGVs / AMRs)
Automated warehouse systems
Control technology design
Development and system design
Design and implementation of conveyor systems
Conveyor belts
Modular conveyor lines
Pallet handling systems
Roller conveyor systems
Infrastructure Monitoring Systems
Smoke extraction systems
Custom exhaust cabin manufacturing
Emission monitoring systems
Compressed air monitoring systems
Leakage detection and supervision
Digital Platform
Industry 4.0 software solutions
Asset management systems
Performance management systems
Predictive maintenance solutions
Process automation (RPA)
CMMS (Computerized Maintenance Management Systems)
MES (Manufacturing Execution Systems)
Software integration
Delta Systems Ltd.
Featured Solutions
Planning optimal delivery routes is a highly time-consuming and expertise-intensive task, where even minor planning errors can result in significant additional costs and customer complaints.
Thanks to our AI-powered self-learning system, optimal delivery routes can be planned easily and automatically, fully aligned with vehicle transport parameters and customizable to a wide range of operational requirements.
Advantages
Automatic and fully customizable optimal routes
Optimized vehicle utilization
Reduced costs from human planning errors
Easy to learn and implement
Fine-tuning based on personalized criteria
Minimized customer complaints caused by delivery issues
n the field of intralogistics, autonomous transport vehicle solutions are becoming increasingly widespread.
However, a recurring challenge is that customers often choose a transport solution not based on their specific logistics needs and capabilities, but rather on what technologies are currently available on the market. As a result, instead of selecting a robot that fits their processes, they adapt their existing workflows to the limitations of available robots.
Our approach is exactly the opposite. We design and implement material handling systems tailored to each client’s unique needs, ensuring they are optimally suited to the task and seamlessly integrate with existing processes.
Advantages
Automatic and fully customizable optimal routes
Tailor-made equipment for unique intralogistics needs
5G network communication capability
Safe and autonomous material transport
Compatible with standard pallet formats
Optimized loading and unloading POI management
Comprehensive transport efficiency reports
Customizable pick-up platforms
Available as stand-alone or conveyor-integrated solution
Agile navigation system
Operates efficiently and safely even in confined spaces
No magnetic strip guidance required
Seamless ERP system integration
Automatic task allocation and completion reporting integrated with enterprise or logistics systems
The core of the development is a centralized monitoring platform that collects data from various sensors.
The system provides a comprehensive, time-sequenced visualization of the collected data, which can be enriched with crop-specific derived values. The platform can generate alerts based on trends, threshold breaches, or emergency events.
It is designed to accommodate additional silo sensor networks, support integration with other subsystems, and in the future, even enable feedback control and automated regulation processes.
Advantages
Temperature and humidity monitoring of grain silos
Centralized data platform
Visual inspection capabilities
Damage detection and prevention
Quality control functionality
AI-driven, demand-based monitoring platform
No need for costly equipment investments
No modification required to existing workflows!
Mobile Machine Vision Solution for Visual Quality Inspection
When a photo is taken by an employee using a mobile phone, the inspection and counting algorithms are executed automatically, providing an instant item count.
The resulting framework enables more accurate receiving, accounting, and inventory tracking—without the need to install special camera systems or redesign existing workflows.
Over time, the captured images can be used for periodic retraining of the algorithms, meaning the longer the system operates and the more image data becomes available, the more accurate and reliable it becomes.
Advantages
Machine vision–based counting using only a mobile phone!
Applicable to any other machine vision task
Alerts and emergency notifications
MES and BMS integration
Minimization of human error
Easy scalability and future expansion – new measurements or control modules can be added to the central platform regardless of vendor
The solution combines the capabilities of a traditional industrial robot and a collaborative robot.
The robots operate in a fully automated mode, performing the unloading of unsorted bulk materials from pallet-sized boxes onto a conveyor belt, as well as item picking and quality inspection directly from the conveyor or its end position.
The robot cell is equipped with the most advanced intelligent controllers and automation components currently available. Both robots are fitted with comprehensive safety systems to ensure safe operation.
The solution can also be delivered in a containerized configuration, making it easily relocatable and adaptable to various production stages or workflows.
An RFID (Radio-Frequency Identification) system designed to track the movement of semi-finished products within the production facility, seamlessly integrating into the existing operational environment.
Upon receipt, each incoming product is fitted with an RFID tag, which serves as the foundation for tracking its entire lifecycle within the factory or plant.
Throughout various processing, measurement, and transfer points, RFID gates are installed to register each product’s passage with a timestamp. These timestamps enable the centralized integration of additional measurement data, such as the full automation of weighing stations.
As products move through the facility, their locations are continuously recorded — including at dispatch — allowing the system to precisely identify where each product has been and what it has interacted with. This results in complete traceability within the production environment, from goods intake to dispatch, ensuring full process digitalization.
In the event of a product recall, the system can accurately identify all related and potentially affected items, thereby minimizing loss and downtime. The RFID tags are designed to operate reliably even under extreme temperature conditions, and once the goods pass the final RFID checkpoint before loading onto trucks, the tags can be easily removed and reused.
Advantages
Complete tracking of product and material lifecycle within the factory or plant
Minimization of losses resulting from product recalls
Easy installation and deployment
Reusable RFID devices
High durability — operable even under extreme temperature conditions
Reduced product registration and inventory errors
Workforce optimization through automation
If you would like to learn more about our services or have specific requirements, please don’t hesitate to contact us. Our team will be happy to answer your questions and help you find the most suitable solution.
Delta Systems Ltd.
Industry 4.0 Solutions
With Industry 4.0 technologies, manufacturing processes become more transparent, faster, and more efficient. Intelligent systems connect machines, collect and analyze data, and support flexible, future-proof production.
Case Studies
IFKA
Projects Completed within the Industry 4.0 Technology Pilot Program
During the development delivered by Delta, an RFID (Radio-Frequency Identification) system will be implemented that can seamlessly operate under the conditions required in the food industry.
Upon receipt, each pig is fitted with an RFID tag that forms the basis for tracking its entire lifecycle within the plant. Throughout various processing, measuring, and transfer points, RFID gates are installed to record product movement with timestamps, allowing for centralized data integration with other systems — for instance, the full automation of weighing stations.
As processed goods enter and leave the cold storage, their passage is also registered. While the readers themselves are installed outside the refrigerated areas, the tags remain attached to the pigs inside, being fully resistant to cold storage conditions. Before shipment, after the final RFID checkpoint, the tags are removed, sanitized, and reused.
The route planning module aims to create a framework capable of assigning delivery addresses and time windows to drivers based on optimization parameters, automatically generating delivery plans. The system is designed to remain user-friendly, flexible, and capable of handling the complexity of small and medium-sized enterprise (SME) logistics.
Routes are optimized according to logical traversal, considering toll costs, fuel consumption, amortization, travel and unloading times, and even driver working-hour limits that may require rescheduling or relief transports.
As a result of Delta’s development, a user-friendly, camera-based system capable of determining item quantities will be implemented, providing an accurate count of goods upon receipt.
In the event of a dispute, the recorded and stored camera footage enables the easy verification of delivered quantities.
The system is designed to be simple and intuitive, allowing any employee to operate it without specialized training. It will also assist in periodic inventory audits, even when goods cannot be pre-sorted or organized prior to inspection.
The solution is based on artificial intelligence–driven visual analysis, operated directly from an employee’s smartphone. During the receiving process, each incoming shipment is inspected using this system. The AI counting algorithm automatically processes the captured image, determines the quantity, and stores both the image and results in a central cloud repository. These stored images form the basis for continuous algorithm self-learning, ensuring increasing accuracy over time.
The goal of the development is to create a framework that enhances accuracy in goods receiving, accounting, and inventory management—without requiring major changes to existing workflows.
Over time, the system can retrain itself through periodic reviews, improving precision as more images are collected.
The expected outcome is a reduction in losses due to incorrect receiving or stock discrepancies, leading to improved operational KPIs, greater competitiveness, and stronger financial performance and employee retention for the SME.
As a result of Delta’s development, a user-friendly, camera-based system capable of determining item quantities will be implemented, providing an accurate count of goods upon receipt. In the event of a dispute, the recorded and stored camera footage enables the easy verification of delivered quantities.
The system is designed to be simple and intuitive, allowing any employee to operate it without specialized training. It will also assist in periodic inventory audits, even when goods cannot be pre-sorted or organized prior to inspection.
The solution is based on artificial intelligence–driven visual analysis, operated directly from an employee’s smartphone. During the receiving process, each incoming shipment is inspected using this system. The AI counting algorithm automatically processes the captured image, determines the quantity, and stores both the image and results in a central cloud repository. These stored images form the basis for continuous algorithm self-learning, ensuring increasing accuracy over time. The goal of the development is to create a framework that enhances accuracy in goods receiving, accounting, and inventory management—without requiring major changes to existing workflows.
Over time, the system can retrain itself through periodic reviews, improving precision as more images are collected.
The expected outcome is a reduction in losses due to incorrect receiving or stock discrepancies, leading to improved operational KPIs, greater competitiveness, and stronger financial performance and employee retention for the SME.
As part of the development delivered by Delta, six grain silos at the SME’s site will be equipped with sensors installed at multiple measurement points — both vertically and across the cross-sections of each silo.
These sensors continuously monitor temperature and humidity, providing real-time data on the condition and quality of the stored grain.
The second component of the development is a central monitoring platform that collects, visualizes, and analyzes all sensor data. The platform allows consolidated, time-sequenced data visualization and can generate crop-specific derived indicators. It issues alerts based on detected trends, threshold breaches, or emergency events, and is designed to be scalable — capable of integrating data from additional silos and subsystems in the future. Moreover, the system architecture allows for potential feedback control and automated regulation functions to be implemented later. The expected short-term result of the Delta development is a significant reduction in grain spoilage and waste. Continuous monitoring of grain conditions and automated alerts enable timely interventions before damage occurs, ensuring that a greater portion of the harvest remains usable for food production year after year.
The second component of the development is a central monitoring platform that collects, visualizes, and analyzes all sensor data. The platform allows consolidated, time-sequenced data visualization and can generate crop-specific derived indicators. It issues alerts based on detected trends, threshold breaches, or emergency events, and is designed to be scalable — capable of integrating data from additional silos and subsystems in the future. Moreover, the system architecture allows for potential feedback control and automated regulation functions to be implemented later. The expected short-term result of the Delta development is a significant reduction in grain spoilage and waste. Continuous monitoring of grain conditions and automated alerts enable timely interventions before damage occurs, ensuring that a greater portion of the harvest remains usable for food production year after year.
The solution is also cost-effective and easily expandable — additional silos can be equipped with sensors later, even through self-funded SME investment, as the core data integration platform is already in place.
Since the platform is designed to accommodate further data sources, it provides a competitive advantage by enabling automation across legacy infrastructure and facilitating low-cost, high-value processes — primarily aimed at loss reduction and operational efficiency.
