Znorm employs advanced AI algorithms to craft intelligent machine learning models, providing impactful solutions for our partners to drive business growth. We spearheads industry transformation with iVA, an AI visual inspection tool managing data, conducting analysis through dashboards, and facilitating scalable deployment.
Integrate our General Object Detection API effortlessly into your applications for high-accuracy, real-time object detection. With versatile capabilities, it excels in various domains, from security to retail. Designed for scalability and easy integration, our API is ideal for projects like autonomous vehicles and augmented reality. Elevate your applications with reliable, efficient, and scalable object detection. Explore the possibilities and start enhancing your projects today!
Speeds up your labeling process by as much as 50% and reduces your model deployment time by up to 67%.
Manages a few to thousands of models with minimal resources.
Improves the accuracy of your machine learning models with data generation and smart labeling.
Track and manage the efficiency of AI projects, current data assets, and deployed solutions across all company site locations.
Identifies issues caused by the environment and raises alerts when the model drifts.
Easily update and adjust your solutions without being beholden to a 3rd party AI team.
Videos Analytics analyzes raw video footage, detects, tracks, extracts, classifies objects that appear and makes useful insights out of it, enabling smart alerting as well as comprehensive reporting.
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Categorisation and labelling of image/video data for AI applications. These annotations make the connection between data and its context to be recognized by the machine learning models. The performance of AI is heavily reliant on the accuracy of annotations.
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Model deployment refers to the productionizing of ML models from the research phase to the real time environment generating insights with unseen incoming data. Consistent monitoring and fine tuning stabilizes the models’ capacity to adapt to the new data trends.
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It involves the analysis of products on the production line for the purpose of quality control. Visual inspection can also be used for internal and external assessment of the various equipment in a production facility such as storage tanks, pressure vessels, piping, and other equipment.
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Prebuilt modules to detect, track people detection faster and accurately. This also includes activity monitoring, and rule based perimeter monitoring as well.
Generalised SDK/cloud end points will be helpful for easy intergration with any ind of application.
Prebuilt modules to detect, track vehicle, read number plate and more.
Applications in this domain usually require less server costs and easy installation. Accuracy of this system is up to human level when chance of false prediction is alomost null.
The system can be integrated with existing CCTV cameras, which can monitor designated areas, identify PPEs, and give alerts in the absence
of required PPE.
One step installation by connecting IP cameras to the IVA's API. SDK and training apis helps to train custom PPEs.
Thee Queue Management system is an automated system designed using Artificial intelligence, Queue management system is majorly used to manage interactions with the customers, To sum up Queue Management is an AI-powered intelligent system which helps in managing the Queues.
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An extensive computer vision developer toolset powering a wide range of face recognition applications, Iva face recognition SDKs and APIs enable comprehensive security and frictionless experience.
Containerised module deployable in the cloud, on-premises, or at the Edge.
ZNORM is a leading AI development company with deep expertise in machine learning, deep learning, computer vision technologies, and neural networks. Let's work together to make your organization future-proof with cutting-edge enterprise level AI solutions, using the state of the art algorithms and model centric logics.