Computer Vision & Image/Video Analytics

Below is the criteria for Global AI Awards in Computer Vision & Image/Video Analytics Category:

1. Design (25%)

• Quality and robustness of computer vision architecture, including accuracy, scalability, and efficiency.
• Seamless integration of image/video analytics into workflows, products, or services.
• Ethical design ensuring privacy, fairness, bias mitigation, and responsible use of visual data.
• Technical adaptability across devices, platforms, and environments (edge computing, cloud, embedded systems).

2. Impact (35%)

• Demonstrated improvements in operational efficiency, accuracy, safety, or decision-making.
• Measurable outcomes such as reduced processing time, improved detection accuracy, or enhanced situational awareness.
• Contribution to solving significant real-world challenges in sectors such as healthcare, security, manufacturing, retail, or autonomous systems.
• Influence on advancing the field of computer vision and its real-world applications.

3. Creativity (25%)

• Innovative applications of computer vision for object detection, facial recognition, scene understanding, augmented reality, or anomaly detection.
• Unique approaches to integrating multimodal AI, deep learning, or real-time video analytics.
• Pioneering use of computer vision in emerging fields such as robotics, immersive environments, or AI-assisted design.
• Differentiation from conventional image/video analytics approaches.

4. Ease of Use (15%)

• Accessibility for developers, operators, and end-users.
• Intuitive tools, APIs, and dashboards for deploying and interpreting computer vision systems.
• Low barriers to integration into existing workflows and platforms.
• Clear documentation, model explainability, and transparent reporting of limitations.