SmartCount AI
Implementations show that 12–14% of statuses come from AI recommendations, reporting times are reduced by several dozen seconds, and production process efficiency is increasing.
New standard for counting items
SmartCount AI eliminates the limitations of traditional manual and sensor-based methods, ensuring fast and accurate product counting. Automation significantly reduces human error, ensuring consistent and repeatable results recorded directly in the system. Counting takes place in near real time, enabling operators and managers to monitor production on an ongoing basis. The system presents data in a clear manner, ensuring full transparency and availability of information at every stage of the process.
Fewer errors in the process
Automation eliminates human error and reduces the risk of data loss. Results are consistent, repeatable, and always available in the system.
Real-time results
Counting takes place in near real time. Data is immediately available to operators and managers, supporting ongoing process control.
Data transparency
The system records and presents results in a transparent manner. The data is consistent, reliable, and always available to all participants in the process.
SmartCount AI in practice
SmartCount AI can handle products with irregular shapes, different colours and variable lighting conditions, while maintaining high counting accuracy. The system does not require objects to be perfectly aligned on the line, making it extremely flexible in industrial and food applications. Thanks to continuous learning mechanisms, AI recognises new objects over time and adapts to changes in production. It is a solution that works even in difficult environments and dynamic processes.
Flexible shape recognition
The system can handle irregular objects – from fruit to industrial components. It does not require products to be perfectly arranged on the production line.
Adjustment to light
The algorithm copes with variable lighting conditions while maintaining high counting accuracy. It only requires initial calibration during implementation.
Continuous learning system
SmartCount AI learns to recognize new products, colors, and shapes. This allows it to easily adapt to changing conditions and production requirements.
Integration and development
SmartCount AI easily integrates with MES and ERP systems, enabling reporting of results and data analysis in a broader production context. The system can be expanded with additional features such as quality control, line speed monitoring and defect detection, which increases its operational value. Instead of expensive sensors, standard industrial cameras are sufficient, which significantly reduces implementation costs. This allows companies to achieve a faster return on investment and gain a solid foundation for further digitalisation.
Integration with MES and ERP
The piece counting module works with production systems. Data can be reported and analyzed in a broader context of processes.
More than just counting items
The system can be expanded to include quality analysis, line speed monitoring, and defect detection, which increases its value.
Lower implementation costs
Instead of expensive sensors, cameras are sufficient. Installation is simple, quick, and does not require specialized production infrastructure.
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FAQ
Frequently asked questions
How does SmartCount AI differ from traditional sensors?
Sensors only work in simple conditions and require precise object placement. SmartCount AI analyzes camera images and recognizes even irregular shapes, different colors, and variable lighting.
Does SmartCount AI work in real time?
Yes. The system processes data almost instantly, giving operators and managers access to results in near real time.
What are the benefits of automating piece counting?
Automation eliminates human error, reduces the risk of data loss, and ensures consistent, repeatable results throughout the manufacturing process.
Does SmartCount AI require products to be perfectly arranged?
No. The system recognizes objects with irregular shapes and different positions, regardless of how they are arranged on the conveyor belt.
How does SmartCount AI handle changing lighting conditions?
The algorithm has been adapted to work in various lighting conditions. A single calibration during implementation is sufficient for the system to maintain high counting accuracy.
Does SmartCount AI integrate with MES or ERP systems?
Yes. SmartCount AI sends data directly to MES and ERP systems, enabling the analysis of counted data in the broader context of production processes.
Can the system be expanded with additional features?
Yes. SmartCount AI is a modular system that can be expanded to include quality analysis, line speed monitoring, and product defect detection.
Does implementing SmartCount AI require specialized equipment?
No. Standard industrial cameras are sufficient for operation. Installation is quick and configuration is simple—no costly sensor infrastructure required.
Which industries can benefit from SmartCount AI?
The system is universal – it works well in the food industry (e.g., counting fruit) as well as in the metal, electronics, and pharmaceutical industries.
How long does it take to implement SmartCount AI?
In most cases, full installation and configuration takes from a few days to a few weeks, depending on the complexity of the line and integration requirements.
Counting items using artificial intelligence and computer vision
Modern production lines require not only process automation, but also precise monitoring. One of the key elements is piece counting – both in the food and industrial sectors. Traditional manual methods involve the risk of errors, delays, and a lack of transparency. Sensor solutions, on the other hand, work well for simple shapes and orderly products, but lose their effectiveness with irregular items.
That is why Computer Vision technology is increasingly being used. Artificial intelligence-based systems analyze images in near real time and allow for precise counting of even irregular objects, such as fruit or products moving in a disorderly manner. All that is needed is a camera mounted on the production line to obtain reliable data on the number of items.
The advantage of this solution is not only its accuracy, but also its low implementation threshold. Cameras can be installed without complex sensor infrastructure, which reduces costs and implementation time. In addition, the piece counting module can be integrated with MES or ERP systems, providing comprehensive control over the production process.
This gives operators and production managers full transparency – the number of items is visible on the dashboard in real time. The system can also be extended with additional functions, such as flow rate analysis or quality defect detection.
AI-based piece counting thus becomes not only a tool for production control, but also the foundation for further digitization and process optimization. Companies gain greater efficiency, reduce losses, and can respond more quickly to changes in production conditions.
Contact
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If you have any questions, talk to our expert
We will respond within the next business day
sales@andoncloud.comPhone
Monday - Friday; 9:00 - 17:00
+48 71 340 70 15
Marcin Wierzbicki
During the meeting, we will present the product and help you configure the system in your company efficiently and quickly. Our team is at your disposal.
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