Industrial Automation

The use of “intelligent” machines in factories with minimal human intervention plus industrial IoT solutions

ZOHO Partner
SAP Silver Partner

Industrial automation in manufacturing uses “intelligent” machines or industrial IoT solutions in factories so that manufacturing processes can be carried out with minimal human intervention.

It involves applying various control systems to enable operating equipment to carry out on their own, with little human intervention, tasks that require speed, endurance, and precision.

Several different means of industrial automation can be achieved, including mechanical, electrical, electronic, hydraulic, pneumatic, and computers. Usually, two or more of these means are used in combination.

Industry Automation Solutions

  • Goods Entry Scan by CCTV

  • License Plate Recognition

  • Data Integration

  • Barcode/QR Code Scanning

  • Vendor Document Scanning

  • Quality Check

  • Weight Feeder

  • Production Data Gathering

  • Movement Detection

  • Delivery Tracking

  • Energy Monitoring

  • Predictive Maintenance

What Makes Us Different

emerging world of the industrial ecosystem requires contactless, intelligent solutions for the businesses to achieve concrete results.

The system measures the quantity & quality of semi-finished and finished goods using special industrial sensors or information from the PLC’s and updates it in the ERP system. This makes it easy to track the produced goods and consumption of raw materials with no scope for manual data entry errors or loss of data.

The Inward material, which is placed in designated areas, is now inspected for quality control. The parameters for quality check are fed into the System once the material is checked using Video cameras, sensors (replacing visual inspection), or Lab equipment for its various properties, the results are automatically captured in the ERP system, comparing it with the standard parameters & sent as alerts to the in-charge to approve or reject the goods

The system automatically captures the vehicle details such as the Vehicle number at the gate using the security video cameras. Further, the truck is directed to the weighbridge, where the truck’s weight is captured and linked to the ERP’s gate entry system without any manual intervention.

The raw material (inward material) is automatically fumigated, weighed, packed, and are transferred to the designated warehouses.

The production system fitted to the Machines is fed with the standard recipe. The raw materials added to produce semi-finished and finished goods are scanned, weighed by the system using various sensors on these machines; if the weight doesn’t match the standard recipe, the production process will NOT begin.

The goods are also tagged with identification tags such as auto-generated QR codes; once weighed, these QR codes will be used for tracking their movement within the plant and give alerts for auto replenishing the exhausted stock. The tagged QR codes capture the Quantity, Weight, batch number of the incoming goods and integrate it automatically in the gate entry system of the ERP.

These goods are now packed & installed with QR codes or RFID tags and transferred to the Dispatch area. This system helps in the smooth dispatch of the packed goods by tracking the vehicles inside the plant and send the details of the vehicle to the Gate Exit system of the ERP

The system constantly monitors the machine parameters such as temperature, pressure, current, vibration & compares them with the permissible range of operating these machines to predict any criticalities, thus avoiding machine breakdowns. A service call is automatically created in the ERP system, and an alert is sent to the designated maintenance engineer to take early action.

The system makes energy management in manufacturing plants efficient and automatic.

The machines can be automatically turned on/off, and respective energy savings made will be alerted in the dashboard.

Our Automation Technologies

Industry 4.0

Industrial IOT



Big Data Technology

Cloud & Cybersecurity

Modeling and Simulation

Additive Manufacturing


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