Ensuring Worker Safety With Artificial Intelligence and Machine Learning
How AI and computer vision reduce hazards in construction, manufacturing, and logistics.
Organizations in construction, manufacturing, oil and gas, engineering, agriculture, and logging expose workers to hazards every day — and they’re responsible for providing a safe place to work.
Personal protective equipment can reduce the risk of injury by up to 90%, depending on the type of work, region, season, and duration of exposure. Failing to enforce PPE standards drives injuries, lawsuits, and financial liability — and rigorous standards and strict legislation now force employers to invest more time and resources in safety.
What’s inside
- Different types of personal safety gear
- The cost to employers of failing to enforce PPE compliance
- Specific use cases of AI/ML in construction, including real-time fall detection, hazard identification, and safety compliance monitoring
- A worker safety monitoring solution
- Future challenges of PPE and worker safety
EHS, operations, and digital transformation leaders in construction, manufacturing, energy, agriculture, and logistics — anyone responsible for protecting workers and reducing litigation exposure on the job site.