Kenzap Smart Vision addresses this challenge by relying on an AI-driven application to seamlessly collect and digitise data in real-time. When the camera is directed towards the machinery's LCD, the application automatically captures and transforms the information.

In today's landscape, artificial intelligence has revolutionised the automation of processes that were traditionally dependent on human intervention.

With the significant advancements in device processing power, it's now feasible to replicate complex human decision-making processes through mathematical computations.

One prevalent issue faced by organisations spanning various industries is the manual collection of analog measurements and subsequent digitisation.

Consider the following scenario: An employee within a factory navigates among diverse factory-installed machinery, manually gathering analog data from LCD screens on sensors, PLCs, and measurement tools. This data is then transcribed into the IT system or Excel reports.

However, this method is plagued by manual intervention, susceptibility to errors, and occasional infeasibility due to employees' protective equipment requirements.

Additionally, due to constraints in existing hardware or software, establishing direct connections to machinery or utilising the internet for automated data collection might not be feasible.

Consequently, the only viable option remains the manual and visual collection of data.


Kenzap Smart Vision addresses this challenge by leveraging an AI-driven application to seamlessly and autonomously gather and digitise data in real-time as the camera is directed towards the machinery's LCD.

The integration of Optical Character Recognition (OCR) technology allows for the conversion of LCD-displayed text into a digital format.

Crucially, it's important to recognise that LCD designs are inherently distinctive, and the layout patterns of the collected data vary accordingly.

To cater to this variability, Smart Vision incorporates an additional module expressly designed to instruct the system in comprehending the specific layout of each unique LCD.

Consequently, the Smart Vision application generates an intuitive and supportive user interface for employees. This interface prompts the confirmation of measurement values and provides instructions for subsequent readings.

The ultimate aim is to yield either an Excel spreadsheet or a direct integration of the readings into a designated ERP system.

Smart Vision Use Cases

  1. Analog Measurement Data Collection in Large Property Measurement Units: Smart Vision excels at gathering analog measurement data within extensive property measurement units, streamlining the process and enhancing accuracy.
  2. Factory Inspection Reporting: This versatile tool empowers efficient reporting during factory inspections, ensuring comprehensive documentation and streamlined reporting procedures.
  3. Electricity and Water Consumption Reporting: Smart Vision simplifies the tracking and reporting of electricity and water consumption, aiding in efficient resource management.
  4. Automotive and Engineering Process Automation: Smart Vision plays a pivotal role in automating various processes in the automotive and engineering sectors, improving productivity and precision.
  5. Enhanced Analytics for Medical Equipment: In the field of healthcare, Smart Vision enhances analytics for medical equipment, enabling data-driven insights and improved patient care.