By combining static and numerical methods, we guarantee a secure, self-adaptive process monitoring. A multi-variable evaluation of axis and spindle torques is performed without the use of sensors. This is an invaluable advantage, especially with regard to the progressive automation of machinery. Discover how to use Toolinspect with just 3 buttons.


  • Self-optimizing and self-adaptive process monitoring
  • Digital data of the control are read out - no sensors necessary
  • Simple operation thanks to automated calculation of margins and automatic selection of monitoring strategies
  • Sensitive tool break detection through multi-variable evaluation (torque and feed force)
  • Various field bus connections (Profibus-DP, Profinet, MOD bus etc.) are possible
  • 21 languages can be selected and switched directly during operation
  • The visualization can be implemented on different platforms like Windows® Linux®


Tool breaks are detected in the cutting process "online" without any time delay. This leads to a reduction of rejects and machine damage. Control data is digitally extracted and analyzed, so no sensors are necessary. The necessary monitoring strategies are automatically selected by Toolinspect. These consist of a combination of numerical and statistical methods for the sensitive detection of signal changes.

Reduce tooling costs by effectively preventing tool breaks with Toolinspect's built-in wear monitoring. Wear data of individual tools can be analyzed and documented in a specific way.

Using TCP-IP connection, all data from Toolinspect are forwarded to downstream to a server.

It can be distinguished whether only alarm tables are sent or a complete data backup is created. This considerably reduces the documentation effort and automates it. It allows a complete documentation of cutting forces. These can also be stored serial number-specific (DMC code). This allows individual process forces to be stored for each individual cut.

The machine condition analysis can be used cyclically (e.g., once a week) to record axle forces and then compare them to values already stored. In principle, other sources of signals , such as Vibration values are available for example by a SeTAC sensor.

The first measurement is stored as a reference curve. This makes it easy to compare the current machine status with data stored, for example, when the machine was delivered.

Backlash on ballscrews can be determined by comparing the data of a rotary position sensor on the motor and a glass scale on the axis. The data can also be exported to external drives for internal storage.

Safe and easy, Toolinspect promises in daily use. This also applies to the adaptive control. Developed according to the same principles as tool breakage and wear monitoring, the optimal values are automatically determined and readjusted without intervention by the operator. Thus, the adaptive control allows the fully automatic optimization of a machining process. Tool break and wear monitoring with controlled tools is still possible.

Reduction of optimization times through targeted analyzes already in the machine, thereby increasing the transparency of the process. The direct support of tool and process technologists through control-integrated visualization and evaluation over longer production periods.

Improving the traceability of process data by storing processing data, for example: serial number-specific (DMC code). This results in a complete documentation of machining forces.

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