At Ameya Edge, we harness the power of AI to drive business innovation and reshape education for a smarter tomorrow. Our solutions help businesses make smarter, faster decisions to streamline operations, boost productivity & improve customer experiences.
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Our team of computer vision experts develops custom image and video analysis applications for machine vision and computer vision systems. We offer computer vision development services that can create sophisticated software solutions, including facial recognition, real-time gesture and motion detection, machine vision, and image classification.
Our engineers undertake a meticulous approach to better understand your company’s objectives and how to create an engaging, and smooth Computer Vision solutions for your business.
We begin by understanding your business objectives for the computer vision solution. This involves defining the specific task (e.g., object detection, facial recognition), data considerations (sources, formats, challenges), performance targets (accuracy, speed), and system integration requirements.
Our data scientists perform thorough exploratory data analysis (EDA) to understand the visual features of your annotated data, uncover patterns and anomalies, identify key objects and scene properties, and even generate data variations to enhance the robustness of your computer vision solution.
Using libraries like TensorFlow or PyTorch, we train models on your data and chosen architecture. We fine-tune hyperparameters (e.g., learning rate, optimizer) to maximize model performance and evaluate results using metrics like mean average precision (mAP) for object detection and the F1 score for image classification.
We curate custom datasets for your computer vision project, leveraging our extensive network and ensuring high-quality data that reflects real-world scenarios. Our team meticulously annotates this data with ground truth labels, bounding boxes, or segmentation masks for reliable and consistent model training.
We select appropriate algorithms, such as Convolutional Neural Networks (CNNs), designed for computer vision. We leverage pre-trained models like VGG or ResNet for accelerated development, or design custom architectures for unique requirements.
For deployment, we consider hardware limitations for target platforms and integrate the solution with frameworks like OpenCV for real-time processing. We also implement performance monitoring to track real-world effectiveness and identify areas for optimization.
Empowering businesses with custom computer vision solutions for enhanced efficiency and innovation.
We can help you develop a computer vision strategy tailored to your business objectives. Our expertise allows us to identify the best computer vision applications for your image and video analysis, taking into account feasibility and long-term impact.
High-quality data is crucial for effective image analysis. We provide extensive training datasets, meticulous image labeling for accurate model training, data augmentation to overcome limitations, and exploratory data analysis coupled with strategic guidance to ensure your computer vision project is built on a solid foundation.
We provide full-service computer vision development, creating custom applications for image classification, object detection, motion recognition, and video analysis. Our experienced team builds scalable solutions tailored to your specific requirements.
Leveraging leading frameworks like TensorFlow and PyTorch, we build high-performance machine vision applications. Our experts design and optimize deep learning models to maximize accuracy and efficiency for your unique needs.
We seamlessly integrate computer vision models into your existing systems and provide ongoing maintenance to ensure their long-term effectiveness. Using leading frameworks like TensorFlow and PyTorch, we build high-performance machine vision applications, designing and optimizing deep learning models for maximum accuracy and efficiency.
