Collisions at workplaces especially in job sites involving a large number of workers can be very devastating. They can occur among types of equipment, vehicles, and workers. Whether it occurs between two equipment/vehicles or with a worker, the impact of it can range from causing operational difficulties to breaking safety compliances. The stakes are very high in either of the cases.
The chances of collision can be seen in different sectors like manufacturing where forklifting operations often occur near the workers. A similar case of ports and logistics companies is seen where the majority of the tasks involve lifting and movement of goods using vehicles and equipments. The construction sector is largely involved in crane operations which are prone to accidents causing high levels of damage.
According to National Safety Council, in 2019 forklifts have been linked to around 79 deaths and around 8140 injuries in construction sites. These accidents are in the form of collisions, turnovers, loading mishaps, or refueling explosions.
However, with carefully designed AI-powered collision detection systems such incidents across different sectors can be prevented. This blog understands viAct’s prevalent solution and how it works.
viAct's AI-Based Crane Collision Detection System
viAct is a pioneer in managing workplaces with AI-powered solutions that help cater to safety management practices. The crane collision detection system is empowered by advanced AI-based technologies that are effective in detecting and preventing different types of collisions in an industry.
The system is designed in such a manner that it engulfs the necessities of different industries and molds itself to the range of protocols governing them. Here are the main points that this system highlights -
1. Modes of Monitoring and Detection
One of the main reasons one would prefer AI-powered safety monitoring over traditional methods is its ability to provide surveillance 24/7.
Advanced Sensors: The system uses high-resolution cameras and sensors to monitor crane and vehicle movements continuously. These sensors can detect obstacles, other machinery, over speeding operating vehicles, operator distraction, and workers in the vicinity. The use of computer vision technology advances the captured video feeds and images to make their use more substantial. The 4S Tower Crane Lifting system helps in setting up a danger zone 7M radius of the crane hook and instantly detects cargo loading/unloading within less than 3M.
AI Algorithms: Sophisticated AI algorithms analyze the data in real-time, identifying potential collision risks based on speed, distance, and trajectory. The use of Generative AI based on Large Language Models (LLMs) helps in processing vast amounts of imagery data, all in real-time and within seconds of detecting any anomaly.
The Mobile Solution: viMAC is a solution provided as a part of this system where the installed IP cameras on the cranes can detect up to 5M horizontal and 6M vertical coverage. It allows for a 900 downward vision provision that captures almost every angle of a vehicle operating. In the case of longer machines at sites, there can be multiple cameras operating and monitoring simultaneously.
2. Immediate Alerts and Preventive Actions
The benefit of AI-powered video surveillance is that its response time is so minimal that the chances for damages automatically decrease.
Instant Notifications: If a potential collision is detected, the system sends immediate alerts to operators and supervisors. This allows for quick preventive actions, such as slowing down, stopping, or rerouting the machinery. From the equipment operator to the workers in the vicinity, everyone is alert instantly thus reducing the chances of it.
Automated Responses: In critical situations, such as the absence of a safety officer or supervisor on site, the worker can seek help from the Generative AI-enabled chatbots that analyses the feeds in real time and suggests a solution that can be applied immediately.
3. Data Analytics and Reporting
The power of AI lies in being able to take note of every incident or near misses at worksites and generate a proper report depicting its focal points. The system here integrates the information from different sources and presents it to the stakeholders using its intuitive dashboard -viHUB.
Incident Documentation: Every potential collision and actual incident is recorded, providing detailed reports on the circumstances, including time, location, and involved parties.
Trend Analysis: viAct's system analyzes data to identify patterns and trends in risks, offering insights into high-risk areas, times, and behaviors.
Safety Improvements: Management can use these insights to implement targeted safety measures, such as additional training for operators, adjusting workflows, or improving site layouts.
Benefits of AI-Based Collision Detection Systems
The AI-powered collision Detection facilities by viAct serve as a guiding light to the worksites with its accurate monitoring leading to zero blind spots. The benefits from it can be listed broadly into the following three aspects-
1. Enhanced Safety Compliance
Firstly, collisions in worksites can cause havoc that can last for a very long time. The damages caused by it can have long term impacts on the workers and the machines. This not only causes a violation of compliance but can also cause substantial monetary losses.
The system ensures that cranes and heavy vehicles operate within safe parameters, significantly reducing the risk. The guided perimeters and instant alerts on any intrusion lead to immediate notifications. The safety compliance in the presence of the system is very high which reduces accidents and the potential financial losses that can result from it.
2. Operational Efficiency
Every industry attempts to gain the best efficiency levels for themselves through a smooth workflow. This can be largely impacted by collisions occurring at the sites. By preventing them, the AI-based system reduces downtime caused by accidents, ensuring smoother and uninterrupted operations.
This can again be associated with the minimization of the financial losses associated with equipment damage and the legal liabilities followed thereon.
3. Sustainable Environment
The long-term benefit of sustainability lies in the use of a smart collision detection system. Saving workers lives from potential accidents creates a safer working environment and worker confidence, knowing that advanced safety systems are in place.
The optimum use of resources is possible due to the machines and equipments being prevented from collision, they can last longer. Their lifecycle increases and so the need to buy in more resources for work decreases. It promotes a more sustainable method of operating where human lives and machines are protected.
AI-based crane collision detection systems are transforming safety standards across construction, manufacturing, and logistics industries. By applying advanced AI algorithms, and comprehensive data analytics, viAct’s technology ensures that potential collisions are detected and prevented, safeguarding workers and optimizing operations.
As these technologies continue to evolve, we can expect even greater advancements in safety, ensuring that industries operate more efficiently and securely.
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