AI Vision Inspection
Exploring automated visual inspection, defect detection, assembly verification and quality decisions using computer vision and AI.
Kaundinya Automation is developing technology that combines computer vision, AI, robotics and digital simulation to make industrial automation more flexible, faster to engineer and easier to deploy.
We explore and demonstrate practical combinations of AI, vision, robotics and simulation — with a focus on technologies that can move from virtual concepts toward real industrial systems.
We explore practical ways to connect perception, intelligence and physical action — turning engineering problems into demonstrable systems.
A digital workflow that begins with feature and hole selection, establishes alignment references, and carries them into a robotic simulation for virtual evaluation of the process.
Exploring automated visual inspection, defect detection, assembly verification and quality decisions using computer vision and AI.
Developing workflows where cameras help robots locate, identify, pick, place and inspect variable parts.
Exploring virtual robot cells, sensor simulation, synthetic data and simulation-assisted validation before physical deployment.
Investigating simulated images and controlled variations to accelerate development of vision models for industrial environments.
Exploring sensor-driven anomaly detection using machine signals such as vibration, temperature, current and pressure.
Combining mechanical systems, controls, robotics, vision and software into modular cells designed for intelligent automation.
Our technology direction connects sensing, intelligence, simulation and robotics with the mechanical and control systems required to operate in the physical world.
Industrial cameras and computer vision capture features, parts, conditions and process information.
AI/ML and decision algorithms interpret information and determine the next action.
Digital twins, Isaac Sim and synthetic data support virtual evaluation and development.
Robot motion, manipulation and machine interaction translate decisions into physical actions.
PLC, controls, sensors and actuators connect intelligent functions to industrial processes.
Industrial machines and robotic cells where the complete technology stack creates measurable process value.
Early demonstrators show how our technology direction can move from a technical problem to a virtual or physical proof of concept.
Manual identification of machining or robotic features can make downstream programming and process setup slower and less flexible.
Computer vision, geometry, alignment logic and robotics simulation are combined into a digital workflow.
Feature selection → alignment → robotic simulation for virtual evaluation of the process.
We are a technology company developing intelligent robotics and automation systems for the physical world.
Our core direction is vision AI-powered robotics for intelligent industrial automation. We combine computer vision, AI, robotics and digital simulation with practical engineering.
Our approach is solution-led: understand the process, engineer the right system, integrate the controls and intelligence, and build for reliability, maintainability and measurable improvement.
Practical designs built around the actual process and operating environment.
AI and vision where they create a meaningful improvement in quality, flexibility or decision-making.
Digital engineering and robotics simulation can reduce uncertainty before physical deployment.
Mechanical, electrical, controls, pneumatics and software considered as one system.
Our engineering capabilities provide the mechanical, electrical, controls and machine-building foundation needed to turn intelligent automation concepts into working industrial systems.
Custom machines, mechanisms, fixtures and engineered equipment designed around specific process requirements.
Controls, sensors, actuators and automation architecture for repeatability, productivity and process control.
Robotic integration for handling, assembly, inspection and precision-intensive manufacturing tasks.
Sensor-driven monitoring and AI-assisted anomaly detection for smarter machine and process decisions.
Hydraulic, pneumatic and functional test equipment engineered for controlled and repeatable testing.
Computer vision for inspection, defect detection, verification, identification and process monitoring.
Simulation-led engineering for virtual validation, system optimisation and better automation decisions.
Electro-pneumatic and hydraulic systems engineered for dependable motion, control and machine functionality.
We start with the process and the problem, then adapt the technology to the application — from manufacturing floors to advanced engineering environments.
Tell us about your process, machine, inspection or robotics challenge. We can start with the problem and work toward the right engineering solution.