Logistics

Digitalization of smart logistics processes with Artificial Intelligence

Optimize logistics operations and automate processes using Computer Vision to increase efficiency in this fast-paced industry.

Improve workplace safety with our detection system to avoid injuries

Detect nearby humans when forklifts are in use to prevent any potential injuries.

Tracking and counting of objects in large quantities

High accuracy in recognizing and automated counting of stocks in large-scale settings, without the need for physical and manual counting.

Real-time monitoring of logistics equipment to detect potential defects early

Receive insights about the condition of your equipment and predict potential breakdowns so you can prioritize maintenance work and prevent unplanned downtime early.

Resources

Solution to Safety Monitoring in the Logistics Industry

Importance of workplace safety With 22,186 reported workplace injuries in 2021, and 24 workplace deaths in 2022 alone, it is no surprise that the Ministry of Manpower (MOM) conducted 400 inspections in May and June under Operation Ibis in 2021, targeting high-risk sectors such as manufacturing and construction, with a…

Get ready for the Future of Industrial Artificial Intelligence

Introduction to Industrial AI Artificial Intelligence (AI) is no longer a buzzword for the industrial sectors as it is becoming more widely adopted in the new era of Industry 4.0. Industrial AI is the use of AI in industrial use cases in any physical operations such as movement of goods,…

Using sound as the primary indicator for predictive maintenance

Predictive Maintenance: Using Sound as the Primary Indicator

Condition-based Monitoring and Predictive Maintenance Condition-based Monitoring or Condition-based Maintenance (CBM) is a maintenance technique that uses sensors to monitor the status of equipment in real-time during operation. The data collected from the sensors will aid in determining whether and when maintenance should be performed. It can be seen as…