Advanced industrial solutions combining sensor technology, AI analytics, and immersive training systems
Data on critical welding parameters are very essential to analyze the welding and welder's performance. Developing such IoT device for welding machine are not very common due to their portability and high current problems. IoT devices are only provided by OEM on select models which are very expensive. We provide a cost-effective IoT solution for welding IoT integrated with AI for online weldment quality assessment. Our device can be integrated with any welding machine with very simple arrangements.
A small device enabled with WiFi connectivity measures, current and voltage, and give option for job card, worker details, etc. The data of machine utilization, current, voltage and corresponding worker details are stored in cloud for future access.
A compact WiFi-enabled device that measures current, voltage, wire feed rate, and gas flow rate. It includes options for job card entry and worker details. The data on machine utilization, electrical parameters, and associated worker details are securely stored in the cloud for future access.
This has all the features of Prime with AI technology on fault/defect identification technology. The common defects which include penetration depth, blow holes, spatter, bead profile are logged as events for each job card.
ZWELDMET is a custom designed welders’ helmet integrated with camera and display technologies to stream low latency video in the helmet, thereby the welder see both the object and electrode and efficiently weld. Our Machine vision camera enabled with AI generates the path and guides the welder for seamless welding operation. The critical welding parameters, voltage, current, gas flow rate, wire feed rate, traverse speed, stick out, weaving amplitude are fetched from the machine and other sensors will be displayed on the screen. Based on the welding conditions, if any critical welding parameter crosses the limit, our AI system will indicate the welder by changing the entire display colour and also indicate which parameter is our of range and immediate corrective action can be taken. It uses multiple sensors to detect the parameters and all the events will be logged in cloud with clear time stamp and can be accessed from anywhere.
It is a product comes with a patented camera and low latency display system wherein the welder will see the video and weld instead of seeing the welding through lens. The display system will also have critical welding parameters with no indication.
It is a product that comes with a patented camera and low-latency display system wherein the welder views the video feed and welds instead of seeing the welding through a lens. The display system also shows critical welding parameters with no indication.
It has all the facilities of Prime with additional sensor noise dose and fume exposure indicator to protect the workers from the excessive noise and fume exposure and comply with occupational safety and health.
The Zeekers IoT Trainer Kit is a comprehensive all-in-one platform designed for students, educators, and developers eager to dive deep into the world of embedded systems and wireless connectivity. Equipped with industry-standard microcontrollers like the ESP32 and ATmega328, the kit provides built-in Wi-Fi, Bluetooth, and RF communication modules. This makes it ideal for experimenting with IoT cloud services, wireless protocols, and real-time data processing. Whether you're a beginner or advancing your skills, this trainer kit supports a wide range of cloud integrations and industry IDEs to help you build robust and scalable IoT applications.
This professional-grade kit includes advanced modules such as Wi-Fi, Bluetooth, RF communication, ESP32, and ATmega328 microcontrollers, along with more than 12 versatile sensor modules. It supports popular cloud platforms like Blynk, MQTT, Firebase, and IoT Cloud, and integrates smoothly with industry-standard IDEs such as Arduino, PlatformIO, and ESP-IDF. Perfect for building real-world IoT applications, it empowers users to master embedded programming, wireless communication protocols, and cloud-based IoT ecosystems.
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