Allow businesses to automate processes, improve decision-making, and enhance user experiences.
Leverage advanced algorithms to detect, classify, and track objects in images and videos for security, automation, and surveillance applications.
Implement biometric systems to identify and authenticate individuals for access control, surveillance, and personalized services.
Automatically analyse large volumes of visual data for insights, enabling faster and more accurate decision-making in industries like retail, manufacturing, and healthcare.
Enhance production lines with AI-powered visual inspections to detect defects, ensure product quality, and reduce waste in manufacturing.
Extract text from scanned documents, images, or videos for automated data entry, document processing, and content analysis.
Deliver cutting-edge applications that drive engagement, improve training, and enhance decision-making.
Develop immersive AR training programs for employees in industries like healthcare, manufacturing, and aerospace, providing hands-on experience in a virtual environment.
Offer customers the ability to visualize products in their environment before purchase, boosting engagement and reducing return rates.
Equip your workforce with AR-based tools for real-time guidance during complex tasks such as equipment maintenance and troubleshooting.
Create engaging AR campaigns that allow users to interact with your brand in exciting new ways, enhancing customer engagement and brand visibility.
Enhance indoor and outdoor navigation by overlaying digital instructions and information on physical environments through AR applications.
Integrate AI, computer vision, and advanced automation to deliver customized robotic systems that improve operational efficiency.
Automate repetitive, rule-based tasks using robots, improving operational efficiency and reducing manual errors in back-office processes.
Automate factory floors with robots performing tasks such as assembly, packaging, welding, and material handling.
Developing intelligent robots for warehousing and logistics applications that can autonomously navigate spaces, transport goods, and manage inventory with minimal human supervision.
Enable human-robot collaboration on the factory floor with Cobots that can work alongside employees to perform complex tasks safely and efficiently.
We use CV to monitor environments, detect anomalies, and trigger alerts in real-time.
Enhances security by providing real-time monitoring, reducing the need for manual oversight, and enabling rapid responses to potential threats.
By integrating CV and robotics, Gadgeon provides smart logistics and inventory management solutions that automate the handling, sorting, and tracking of goods.
We integrate CV, AR, and robotic technologies to create smart manufacturing solutions that embody the principles of Industry 4.0.
Enable predictive maintenance, real-time quality control, automated assembly lines, and digital twin models for enhanced operational efficiency.
Are provided to improve hands-on learning experiences towards training employees in complex tasks, machinery operation, or customer service scenarios.
Unlock new dimensions of engagement and insight with our advanced computer vision
and augmented reality technology solutions.
Widely used for computer vision and robotics programming due to libraries like OpenCV, TensorFlow, and PyTorch.
Preferred for performance-critical tasks in computer vision, robotics, and AR applications.
Commonly used for AR development, particularly with Unity3D.
Utilized for Android-based AR applications.
Applied in algorithm development, prototyping, and image processing tasks in computer vision.
Used for robotic programming to manage the integration and communication of hardware and sensors.
An open-source computer vision library for image and video processing.
Machine learning and deep learning frameworks for developing AI models in computer vision.
A deep learning framework for computer vision, commonly used in research and production.
A popular platform for AR and VR application development.
AR SDK for building mobile and smart glasses-based augmented reality applications.
Used for robotics programming, simulation, and real-time control.
For simulating robots in 3D environments before real-world deployment.
Useful for reinforcement learning in robotics.
Another tool for high-quality AR/VR experiences.
Applied to ensure user-centric development in AR, robotics, and computer vision projects.
Hardware and firmware for robotics are developed in parallel to reduce development time.
Employing Scrum and Kanban methodologies to manage iterative development cycles.
Following agile methodologies to enable fast prototyping and testing of AI/ML models.
Automated testing frameworks like Selenium and Robot Framework are used to ensure the reliability of computer vision and robotics applications.
Continuous integration and deployment pipelines for rapid testing and release of vision algorithms and robotic software.
Testing high-risk areas early in the development cycle, especially for AR and robotics applications to avoid late-stage failure.
Implementing edge computing to process data locally for real-time response in vision and robotic systems.
Discover how our Computer Vision, AR, and Robotics Solutions can take your business to the next level!