Cranes are the lifeline of construction sites, warehouses, and manufacturing plants. They lift and transport heavy loads with precision, but they also come with serious risks. One of the most common and fatal hazards is workers entering the blind spots of cranes while objects are in motion. A single lapse in supervision can lead to severe accidents, injuries, or even fatalities.
This is where AI video analytics is changing the game. By detecting person movement around cranes in real-time, it ensures proactive safety and creates a smarter, accident-free workplace.
The Safety Challenge in Crane Operations
Even with experienced operators, cranes pose risks:
- Limited Visibility: Blind spots make it hard for operators to spot workers nearby.
- Heavy load momentum: Once a load swings, stopping it immediately is almost impossible.
- Human error: Manual supervision can’t cover every corner of a busy site.
Analysing the Cost of Crane Collision
As per the IPAF Global Safety Report, being hit by vehicles or machines at worksites remained at the top 5 list of causes of accidents from 2021 to 2023. Each accident is not just a human tragedy, but also has financial consequences that impact business continuity.
Below is the breakdown of the financial cost impact due to the crane accident.
Direct cost: Financial cost up to a million dollars per crane accident.
- Indirect cost: Production shutdown, regulatory investigations, and increased insurance premiums.
- Legal cost: As per the OSHA report, fines due to safety violations can go up to $1,65,514
- Reputation impact: Safety incidents can put a negative image of the business in customers’ minds and affect employee recruitment.
AI Video Analytics: A Smarter Solution
With the rise of AI, industries now have a powerful tool to enhance crane safety. By integrating AI video analytics software with existing IP-based CCTV cameras, sites can:
1. Detect person movement near cranes in real time
Our AI video analysis-based person movement near crane detection uses machine learning and deep learning algorithms to analyse the video footage in real-time and identify when an employee steps into the camera’s defined Region of Interest (ROI), particularly the crane operational zone.
For accurate person movement detection using AI video analytics, the camera should ideally be installed at a height of 14 feet, allowing the system to detect a person clearly from a distance of up to 12 feet.
2. Trigger instant alarms and alerts to take preventive actions
Operators and workers receive instant notifications the moment the employee is detected in the high-risk zone. Beyond on-screen alerts, the system can also trigger real-time alarms through hooters, which are seamlessly connected to our AI video analytics software using IoT devices.
This ensures that both visual and audible warnings are activated simultaneously, giving employees immediate awareness and preventing accidents before they happen.
3. Stop crane movement to prevent collisions
To prevent collisions, our AI video analysis system doesn’t just issue alerts; it can also stop crane movement in real-time. When a person enters the crane operational zone, the AI video analytics software instantly triggers an IoT-enabled device that directly gives signal to the crane’s control system, ensuring immediate action is taken to avoid accidents.
Benefits of Person Movement Near Crane Detection Using AI Video Analysis Software
The AI-based person near crane detection system, powered by AIVID, acts as a guardian to the worksites with accurate monitoring, resulting in zero blind spots. Below are the benefits the organisation gets by integrating this AI video analytics solution with its existing surveillance system.
1. Improve Safety Compliance
With person movement near crane detection using AI video analysis software, companies can strengthen workplace safety compliance effortlessly. The system continuously monitors crane operations, detects unsafe human movements, and ensures that safety protocols are followed in real time.
By integrating automated alerts and IoT-enabled controls, businesses can align with industry regulations, reduce human errors, and create a safer working environment. This not only helps meet compliance standards but also builds trust among employees and stakeholders.
2. Enhance Operational Efficiency
Implementing person movement near crane detection using AI video analysis software not only improves safety but also drives overall operational efficiency. By detecting person movement and potential collisions in real-time, the system minimises unplanned downtime and prevents workflow disruptions.
With automated alerts and IoT-enabled crane control, operations continue smoothly without compromising safety. This proactive approach ensures faster material handling, optimised resource utilisation, and consistent productivity, helping industries achieve higher performance with reduced risks.
3. Sustainable Environment
Adopting person movement detection near crane using AI video analysis software contributes to building a more sustainable and responsible work environment. By reducing the chances of accidents, equipment damage, and operational halts, industries can lower material waste and energy consumption.
The integration of AI and IoT-driven systems ensures efficient crane operations with minimal manual intervention, leading to smarter resource management. This proactive, technology-driven safety approach not only protects people but also supports eco-friendly and sustainable industrial practices.
Final Thoughts
With AIVID.AI’s Person Near Crane Detection System, safety isn’t just monitored, it’s ensured. By leveraging AI video analytics software, our system detects human presence in high-risk zones in real-time and automatically stops crane movement, preventing potential collisions before they occur.
This proactive safety layer empowers industries to protect their workforce, reduce downtime, and build a culture of trust where AI becomes a true guardian of workplace safety.
Ready to explore how AI can make your site safer? Contact us today at info@aivid.ai or share your details at https://www.aivid.ai/request-demo/ to learn more.
