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Industries from different segments deal daily with challenges related to production chain efficiency. Among them is the counting of large volumes of products, a process that is commonly slow, tiring, and ineffective, since relying on human labor for this type of activity is far from ideal. The good news is that Artificial Intelligence (AI) is already capable of presenting viable solutions to solve the problem practically, increasing quality control and efficiency in time management. On production lines, wasting minutes is the same as throwing money out the window. Introducing agility to processes becomes fundamental for businesses that wish to scale their activity, producing more in less time. However, industries from different sectors face the same problem: the activity of counting items carried out by workers subjected to fatigue, stress, and repetitive tasks. The solution is linked to the introduction of disruptive technology capable of transcending human vision.
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The limits of human vision
In addition to requiring extreme attention, the product counting routine demands time and constant checking of the activity. Due to its repetitive and mechanical nature, it is natural that fatigue and distraction generate constant errors that directly impact the next stages of production. It becomes evident that human vision has limitations that can hardly be overcome without the help of technology, which is indispensable for the efficiency of processes carried out on the factory floor. Counting items that pass along conveyor belts is one of the examples where manual work is clearly inefficient. After all, extreme precision and agility are required to define the number of units that must be separated or packaged, avoiding errors in numbering that can generate excess or lack of products in shipments. The problem moves on to the transport of cargo, an activity surrounded by bureaucracy and which can lead to fines if irregularities occur. Counting bags at the exit of trucks, for example, generates slowness and insecurity for the process, not to mention the risk of overweight. In this case, the application of technology can generate practical solutions capable of identifying the number of items and the estimated weight of the shipment. This is the case with Pix Counter, a solution developed by Pix Force capable of automating the identification of items.
Low-cost and highly accurate solutions
Through Artificial Intelligence (AI) applied to Computer Vision, Pix Counter automates the numbering of items in different segments, including the logistics sector. In the case of truck transport, the system is capable of counting the quantity of pallets and bags, the estimated weight, and the number of truck axles, preventing loading errors. Another example where this disruptive technology can be applied is in counting steel bars, a material produced on a large scale and indispensable for civil construction. Through Computer Vision, machines are capable of seeing and interpreting images in a more advanced, fast, and precise way than human vision, reducing failures and the waste of financial resources. The process has become increasingly urgent for companies wishing to expand their competitive capacity through Industry 4.0, known for the possibility of applying different technologies in the production chain.
The future of the industry depends on innovation
According to a survey released by the National Confederation of Industries (CNI), eight out of ten industries experienced an increase in productivity and financial gains due to investments in innovation. The results point to how managers have been awakened to the need to replace manual labor in repetitive and tiring tasks, such as counting a large number of products. Known as the fourth industrial revolution, Industry 4.0 has proven that the introduction of innovative solutions into the production chain is far from reaching its peak. The ability of machines to collect and analyze images, turning photos into data that optimizes the work performed by human labor, is just one example of the application of disruptive technologies in industry. The introduction of Industry 4.0 concepts to the market includes solutions involving advanced robotics, 3D printing, the use of sensors, machine-to-machine connection systems, among various other possibilities. In the case of sectors that need to count parts, items, and goods inside or outside the production line, computer vision presents itself as a fundamental solution for work optimization and quality management. The cost of technology is another favorable point, as image capture and analysis have become increasingly accessible. Not to mention the advantages linked to saving financial resources if problems in counting the items occur. In this sense, training computers to interpret images captured by cameras is the only viable way for the industry to correct errors and grow in competitiveness. #computervision #ArtificialIntelligence #pixcounter #counting #technology #pixforce #industry
Fabio Caraça
Fábio Caraça is the Chief Growth Officer at Pix Force. He leads Pix Force's transformation into a scalable SaaS operation, combining strategic vision, culture, and high-impact execution.
