Part checking by batch
The solution supports visual validation of parts separated in each box or batch, helping identify when items do not match the expected standard.

Case studies
Visual inspection of boxes, batches and parts to reduce errors before shipment to new manufacturing stages
A metalworking industry in the Joinville region uses Bluinspect at a strategic point in the production process to check parts separated into boxes and batches before shipment. The solution supports visual validation of items, reducing the risk of mixed parts, incorrect shipments and rework in later stages of the industrial chain.
In metalworking operations, a part may go through different processes before it is ready for the next stage of the production chain. Cutting, bending, fitting, painting, enameling, galvanizing, separation and packaging may happen in different areas of the industry or even in different units.
In this flow, boxes and batches need to be prepared correctly to move to new manufacturing processes, assembly lines, suppliers or final customers. When checking depends only on manual stages, similar parts may be mixed, batches may be shipped incorrectly or boxes may leave with items that do not match the expected standard.
The operation challenge was to increase checking reliability before parts were shipped. In an industrial chain with several stages, a separation error can generate rework, delays, interruptions in later processes and loss of confidence in delivery.
The company needed a more standardized way to validate whether boxes contained the correct parts before they left the industrial site or were sent to other transformation areas.
Blucom applied Bluinspect at a strategic point in the production flow to support inspection of boxes and batches before shipment. The solution uses computer vision to visually analyze separated parts, helping check whether items correspond to the batch, part type or expected standard for that stage.
With this, inspection no longer depends only on manual verification and gains a digital layer supporting quality control. The objective is not to replace the entire industrial operation, but to create an additional checking barrier before errors move into more expensive or critical stages of the production chain.
In the industrial flow, parts go through successive stages until they are separated into boxes to move forward. In some cases, they go to another area of the same industry. In others, they are sent to partner units, suppliers, final customers or specific assembly lines.
Bluinspect is positioned before this shipment to act as a checking barrier. The camera analyzes the box, the set of parts or the visual composition of the batch, and the system supports validation of whether that separation is correct for the intended destination.
This control point helps prevent a simple separation error from moving into more complex phases, where correction may be more expensive, slower and operationally critical.
The same visual inspection concept can be applied at different points in industrial operations whenever there is a need to validate compliance, separation, presence, absence, composition or visual pattern of parts and products.
In this case, Bluinspect is applied to visual analysis of industrial parts, boxes and batches. The focus is on production process compliance and reducing operational errors, without relying on people identification or personal data to deliver value to the operation.
Applied solution
Bluinspect creates a visual support layer for checking boxes, batches and parts at a critical manufacturing point.
The solution supports visual validation of parts separated in each box or batch, helping identify when items do not match the expected standard.
Bluinspect works at a critical stage before boxes leave for other units, suppliers, customers or assembly lines.
Automated visual inspection creates an additional checking layer to support the quality team and reduce dependence on fully manual verification.
The solution helps reduce the risk of similar parts, parts from different batches or items intended for different processes being shipped together by mistake.
The analysis follows criteria configured for the process, helping make checking more consistent across shifts, operators and production volumes.
The solution can support the creation of evidence and records of the inspection stage, contributing to traceability and occurrence analysis.
Results
Visual checking reduces the chance of boxes leaving with wrong, mixed or incompatible parts.
Later stages receive parts with greater reliability, reducing risks of interruption, delay or rework.
Bluinspect adds a digital inspection layer to support operators and teams responsible for checking.
Configured visual criteria help maintain more consistent inspection, even with variation in operators and production volumes.
Records and evidence from checking can support occurrence analysis, internal audits and continuous improvement.
The solution helps identify deviations before shipment, allowing correction while still inside the operational flow.
Products
AI inspection to identify failures, anomalies, and evidence
Use AI to support quality processes, sorting, inspection, operational safety, and visual monitoring in industrial environments.
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Blucom helps industries apply computer vision at critical manufacturing points, creating digital layers of inspection, control and traceability to support quality, productivity and decision-making.