Adaptive Construction Intelligence with deep learning in virtual reality using SKY ENGINE AI platform to improve on-site predictive analytics
By SKY ENGINE AI, 21 February 2022
Keywords: SKYENGINEAI, Construction, Engineering, Heavy Industries, Synthetic Data, Computer Vision, Video Analytics, IoT, Edge AI, Deep Learning, Data-centric AI
Numerous construction companies have increased their AI-driven automation initiatives in response to rising risk, stressed supply chains, and shrinking profits. Typically, businesses have concentrated on establishing operational efficiencies via the use of technology to streamline processes and procedures, but the data available on site is frequently used in a suboptimal way.
What if you could highly increase workers safety on a construction site and boost your chances of completing a project on time and under budget by leveraging synthetic data simulated and generated in SKY ENGINE AI platform for AI models training? Obviously, the number of on-site data that you previously just saved for future reference will also serve further AI models enhancement. Such solution build in the SKY ENGINE AI platform can assist engineering and construction (EC) companies in optimizing their decision-making and driving project success by proactively uncovering new insights from construction site data.
The AI solutions created in the SKY ENGINE AI platform can be employed to help Construction and Heavy Industries Enterprises:
- Understand and analyse workers safety & productivity,
- Enhance operational workflow,
- Provide insights in case of insurance claims,
- Perform statistical analysis and identify construction sites and/or teams where safety rules are frequently breached and,
- Help ensuring environmental compliance.
Let us know about your cases and get access to the SKY ENGINE AI platform or get a tailored AI models or synthetic datasets for your construction site computer vision applications. As we support much more industries a broad range of data and AI models customization is available even for specific sensors and environments.
