Automated defect detection
and height control
of paving blocks and hollow bricks
for construction material

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Brickspect is a fully automated vision defect detection system for manufactures of the building materials.

In the construction industry due to the limited availability of human resources, more and more processes (previously unprofitable) are now being automated in the construction industry. Find our how Brickspect can support your production optimization.

Using vision cameras and machine learning algorithms that Brickspect is equipped with, the system effectively carries out the processes of detecting and removing defects in bricks or hollow blocks.

Brickspect is used to examine defects and the height of a product, especially when it is specific and hardly replicated. The system automatically detects damage on the upper surface of paving stones and blocks - cracks, discolorations, defects and others - and detects incorrect dimensions.

Brickspect algorithms for dimension analysis are based on laser triangulation.

Thanks to the machine learning algorithms, Brickspect allows collecting, reviewing and analyzing all data regarding the production process.
- testing the height of construction products with simultaneous identification of damage
- user-friendly touch panel interface with visual presentation of inspection results
- centralized qualitative and quantitative product control - collection, review and analysis of all data regarding the production process
- (optional) automatic generation of reports, trend analyzes and alarms

What do you gain?
- solving the problem of labor shortages by introducing automated machine vision based on artificial intelligence instead of manual inspection
- strengthening the reputation and trust in the brand - consistent delivery of high-quality products
- avoiding problems and costs in the further process (wholesale return, entire batch, container, etc.)
Brickspect automatically detects:
- cracks
- discoloration
- cavities
- incorrect dimensions
and other.
Construction of the Brickspect system:

- 3 laser triangulation sensors (for measuring the height of paving stones)
- 2 overhead cameras (for examining damage to the upper surface of paving stones)
- housing with a touch panel (control system enabling the machine to be operated via a touch panel)
- dedicated controller enabling integration with the production line control logic

Configurable interface and database
Based on the production specification system interface can be adjusted, including automatic system set-up with data upload by higher-order system (e.g. MES) and additional data upload by line operator. Data collected by the system can be automatically uploaded to higher-order system.

They have already trusted us

  • In our opinion, the use of neural networks and the function of classifying detected defects distinguish the KSM Vision solution from competitive solutions, and the effectiveness achieved by the system ensures quality control at the level of systems of leading manufacturers.
    MLEKOVITA, 1 of 100 biggest Polish private companies 2022 according to Forbes
    M.A. Engineer Dariusz Sapiński,
    President of the Board
  • When designing the solution, KSM Vision showed great flexibility in adapting the system to the expectations of the BIOFARM Production Department. (...) Since the implementation of BLISPECT vision technology on the 1st BIOFARM production line almost two years ago, the KSM Vision Service Department has been available to BIOFARM employees with a good reaction time.
    BIOFARM Jarosław Pieczuro,
    President of the Board
  • KSM Vision Sp. z o. o. has developed a system for quality control of glass vials for pills. (...) A big advantage of the system is the use of machine learning algorithms, which allows easy adjustment of the system.
    ADAMED Group Dariusz Stępień,
    Dyrektor ds. Infrastruktury i Mediów

Our R&D on the solutions with the use of neural network potential are backed by our renowned partners: