Enhancing workplace accountability: harnessing the potential of video AI technology to monitor employee absence-from-duty

USE CASE VIDEO

Absense from duty detection

Tap into the potential of your existing video feeds by extracting valuable insights. By acquiring data from cameras and monitoring tools, you can access a rich dataset to train your video AI model.

Effortlessly deploy and seamlessly integrate our absence-from-duty model through Kai Sense

Through the implementation of video AI technology to address employee absenteeism in the workplace, organisations can proactively and effectively track, monitor, and manage the presence of employees. This comprehensive approach ensures heightened visibility and accountability throughout the entire spectrum of work hours, empowering businesses to optimise workforce management and cultivate a culture of responsibility and productivity.

Continuously refine your absence-from-duty model to scale

Elevate the performance of your absence-from-duty detection model by leveraging a centralised management tool for your datasets. This versatile tool not only facilitates the initial deployment of your model but also supports its scalable expansion, accommodating the accumulation of more data over time. The streamlined MLOps processes integrated into this tool further simplify the detection process of detecting various sizes, types and additional objects and allow for seamless adjustments to model configurations, ensuring continual enhancement.