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Computer
Vision
and AI

Computer Vision and AI





Experience the future with our Computer Vision and AI solution – an unparalleled synergy that bestows machines with the remarkable ability to perceive, comprehend, and astutely decipher visual data, revolutionizing decision-making and efficiency across diverse applications. Welcome to a new era where innovation meets insight, transforming the way we interact with and harness the power of visual information.




Key Features


Image recognition: Advanced algorithms for accurate identification and categorization of objects, patterns, and features within images.

Object detection and tracking: Capabilities to detect and track objects in real-time, facilitating monitoring and analysis.

Pattern recognition: Recognition of patterns and anomalies, enabling the system to identify trends and deviations.

Deep learning integration: Integration with deep learning algorithms for enhanced learning and adaptability over time.

Real-time processing: Swift processing of visual data in real-time, enabling quick responses and decision-making.

Semantic segmentation: Ability to segment and understand the semantic meaning of different parts within an image.

Cross-platform compatibility: Compatibility with various platforms and devices, ensuring flexibility in deployment.

Continuous learning: Systems capable of continuous learning and improvement based on evolving data and patterns.

Integration with IoT: Seamless integration with the Internet of Things (IoT) like COGNEX camera, printer, or MES/ERP for comprehensive data exchange and analysis. Integrated with

Optional: Automated kitting and final packing based on assembly line configuration



ROI Achieved


Eliminates human errors in kitting process
Improved inventory management
Faster order fulfillment rate
Reduced time to complete the operation
Eliminates manual intervention
Reduced/eliminates wastage
Reduced labor and operational costs

USP


AI driven identification of parts/part types
Ease of configuration and teaching based on changes in the product/part
Scalability in managing new part additions
Operates in outdoor environment




Parts Detection and Labeling

AI driven part identification in the CKD assembly process to eliminate human errors like wrong or incomplete CKD kits being shipped globally
An object detection CNN (Convolutional Neural Network) integrated with COGNEX camera to ensure part identification within seconds and print accurate QR code


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Parts Counting and Kitting

AI driven parts are counted for a kitting operation
Automated kitting and final packing based on assembly line configuration


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