Patentability of Human-Machine Calibration Systems

Introduction : With the adoption of automation in production processes, precision and productivity have become equally important concepts. Yet, regardless of how sophisticated an automated machine can be, there is always a risk that some mistakes might occur due to wearing out, temperature change, sensor drifting, etc. This is why the need for a human-machine calibration system which will utilize both man and machine intelligence becomes relevant. Indeed, the rise in industrial automation makes the application of the said technology very topical.

The International Federation of Robotics (IFR) reports that during 2023, the world stock of operational industrial robots has surpassed 4.28 million units. It is a 10% growth in comparison with the same period last year.

In addition, India continues developing its smart manufacturing capacity through efforts such as the establishment of the National Manufacturing Mission in the Union Budget 2025-26, as well as the ongoing development of the Make in India project. The objective of these developments is increasing automation and utilisation of advanced technologies within the process of domestic manufacturing.

Thus, in connection with this trend, a question arises regarding the patentability of a system where humans work together with automated sensing and feedback from the machine. The key factor here is not the use of software, but rather whether the invention leads to a substantial technical effect achieved during the operation of the machine. Human - machine calibration systems represent one of the most relevant examples in this regard since they combine hardware, sensors, human operator input and intelligent feedback mechanisms for resolving the flaws.

How Human - Machine Calibration Systems Work

Calibration is the procedure during which the performance of the machine or the instrument is checked and adjusted against a certain standard or reference value. Unlike earlier methods, which were primarily manual and entailed checking up the equipment and making the necessary mechanical corrections, contemporary calibration has been turned into a smart feedback mechanism capable of continuously monitoring the machine's performance and correcting deviations from it.

This calibration system mostly comprises four interdependent components which includes sensing, operator input, calibration loops and correction. The first stage entails sensing where information about the machine performance is gathered through various sensors such as laser scanner, machine vision camera, pressure sensor, force sensor, encoder and thermometer. Coming to operator input, it is used in cases when safety, compliance with regulations and sophisticated engineering judgment are required, the human factor plays an important role in the calibration process rather than being supplanted by it. Having gathered the information, it goes into calibration loops.

An occurrence of any discrepancy between the expected and actual performance of the system is called an error. Instead of making a one-time correction, the system performs consecutive cycles of measuring, analysis, correction and verification till the deviation is within allowable limits. The continuous process of feedback mentioned above is popularly referred to as a closed-loop calibration system and allows machines to be highly accurate despite varying environmental conditions. If an error is detected, a certain correction procedure is performed by the system. Control software processes the deviation and identifies a required course of action. Depending on the particular application, it may be necessary to realign a robot's arm, recalibrate a sensor, change the parameters of the image, compensate for the effect of thermal expansion, etc.

The advantages of such a system include reduction of measurement errors, decrease in manufacturing defects, minimization of equipment downtime, optimization of resource usage and improvement of efficiency.

From Factory Floors to Precision Equipment

The working of human - machine calibration system can be explained further through real-life examples such as a Computer Numerical Control (CNC). The machine is used for production of aerospace parts. The prolonged use of the machine will generate heat due to the spindle resulting in thermal expansion and positional errors. The laser interferometer and displacement sensors continuously keep track of the tool’s position. A technician calibrates the whole process using the gauge block of a known dimension. Then, the software will check the dimension and calculate the difference between actual and expected dimensions. In this way, the machine will correct its process until the difference between the two becomes acceptable.

The same principle is applied in the case of robots used in automotive manufacturing where thousands of welds are done every day. Even a minor positional deviation of a fraction of a millimetre can affect the structural integrity of the welds. If a deviation is detected, the operator confirms the alignment of the reference, following which the control program calculates a new trajectory for the robot and automatically makes the correction. Cooperation of the operator's input and feedback from the machine substantially enhances the quality of welding and minimizes production defects.

Human-machine calibration is important also for medical diagnostic equipment such as MRI and CT scanners. Periodically engineers calibrate such machines by means of phantom objects that imitate human body tissues. Sensors detect alignment discrepancies and differences in intensity of signals, and the program corrects for detector placement and imaging parameters. Even industrial 3D printers use automated calibration. An optical or inductive sensor measures the distance between the print nozzle and the build platform. The operator validates the build surface that should be used. Then the firmware builds up a high-resolution height map and automatically adjusts the movements of the nozzle during the printing process to achieve dimensional accuracy, increased layer adhesion and decreased number of errors.

Patentability of Human - Machine Calibration Systems

The growing complexity of human-machine calibration systems makes one wonder whether such innovations can be patented. Further, by applying the existing laws of patentability to the technical factor of an invention regardless of whether it includes certain software or sensors or human factors. A calibration system cannot be patented due to its software or sensor elements. On the contrary, the patentability of the invention would hinge upon whether the invention in totality complies with the statutory conditions while providing a true technical solution to the problem. Under the Patents Act, 1970.

The invention should be novel, inventive and capable of industrial application. A human - machine calibration system will satisfy these conditions, provided that there is a new method of sensing, a new feedback device, an efficient correction method integrated into hardware, or a unique interaction between the input of the human operator and the machine that makes the equipment function better. However, the major difficulty arises from the provision of Section 3(k) of the Patents Act, according to which a "computer programme per se" and algorithms are excluded from patent protection. However, the Indian patent law has always considered inventions on the basis of their technological value rather than a single component in them.

Furthermore, judicial pronouncement has also reinforced the above view. In Ferid Allani v. Union of India (2019), Delhi High Court has ruled that the inventions related to software can never be deprived of patentability because of the involvement of computers in them. The court was of the view that in case of invention showing technical effect or technical contribution, it needs to be evaluated. It has been noted by the court that nowadays software and hardware go hand in hand in order to solve any kind of engineering problem.

Calibration schemes of humans and machines provide another example of such application of the principle. For instance, an industrial robot with its vision system detecting the error and the operator confirming the reference coordinate will be adjusted by the built-in software with respect to the robot’s new trajectory and servo motors, which will be confirmed by a closed-loop feedback scheme. Thus, the invention not only processes information but makes the technical operation of the robot better by increasing the precision of positioning and decreasing the rate of manufacturing errors. In the case of patenting, the way how the invention is written is also important for an inventor.

Instead of presenting the invention in the form of an algorithm, it is better to use sensors, controllers, actuators, operators and machine components in the patent claims. The description must address how the sensor data is collected, how errors in the calibration process are identified and how the system ensures that the measurable qualities, like precision, response time, safety, or efficiency of use are improved. Focusing on the problem that an invention solves makes it much more likely to be patentable. More and more, the key focus is on the technical contribution made by the invention rather than just the presence of the software.

The Road Ahead

The future of manufacturing is not about getting rid of the human experts and replacing them with machines, it is about improving humans' capabilities using intelligent machines. The new technologies will help to develop the calibration systems to become more intelligent. Artificial Intelligence would be able to forecast any drifting of the equipment prior to the effect on the production process and propose calibration procedures without stopping production. Also, sensors connected to the cloud would allow monitoring industrial equipment remotely and calibrate the machinery of different factories online.

Furthermore, strong patent protection stimulates inventions and development of technology. The core issue of patenting human-machine calibration systems is that these systems cannot be considered within the framework of software alone. It is their novelty, in the synergy of the work of an operator, sensor technologies, feedback and smart error correction that leads to improvement in machine performance. If the result of the operation of all these features as a whole yields a definite technical effect, it satisfies the goal of patent law which is to promote invention, which in turn leads to advancement in technology and industrial development. Human-machine calibration systems will become a key factor of the future development of precise engineering due to the increase of intelligence of manufacturing.

Author :- Arihant Mishra, in case of any query, contact us at Global Patent Filing or write back us via email at support@globalpatentfiling.com.

Endnotes

1. The Patents Act, 1970, No. 39 of 1970, § 2(1)(j), § 2(1)(ja), and § 3(k), Government of India, available at: https://ipindia.gov.in/writereaddata/Portal/IPOAct/1_92_1_patents-act-1970-updated-till-20may2003.pdf (last accessed 28 July 2026).
2. Ferid Allani v. Union of India & Ors., 2019 SCC OnLine Del 11867, Delhi High Court, recognising that computer-related inventions demonstrating a technical effect or technical contribution are not excluded from patentability merely because they involve software.
3. Office of the Controller General of Patents, Designs and Trade Marks (CGPDTM), Guidelines for Examination of Computer Related Inventions (CRIs), 2017, Government of India, available at: https://ipindia.gov.in/writereaddata/Portal/IPOGuidelinesManuals/1_66_1_Computer_Related_Inventions_Guidelines_2017.pdf(last accessed 28 July 2026).
4. International Federation of Robotics (IFR), World Robotics 2024 – Industrial Robots, reporting that the global operational stock of industrial robots exceeded 4.28 million units in 2023, available at: https://ifr.org/world-robotics(last accessed 28 July 2026).
5. Government of India, Ministry of Finance, Union Budget 2025–26: Budget Speech, announcing the National Manufacturing Mission to strengthen India's manufacturing ecosystem and promote advanced manufacturing technologies, available at: https://www.indiabudget.gov.in/ (last accessed 28 July 2026).