One of the greatest challenges for manufacturers is to guarantee quality in automated production lines.
Manual visual inspection is very costly and time-consuming for manufacturers; however,it is a priority to improves efficiency, reliability and safety, customer satisfaction, safeguards your reputation and reduce risks.
Today, most companies all quality control processes are operated by humans. Processes are facilitated by the implementation of sensors, which let control regain over the production quality. However, the full potential of data to leverage business isn’t accomplished.
Edge computing benefits
Analyze high volume video data
The installation of a camera tunnel requires very high computing power to analyze large volumes of video data in real time. Indeed, cameras scan products at 360 degrees, which produces 1GIGA BITS of data per minute. This type of analysis from workforce would be extremely costly and time-consuming. Edge computer vision uses deep learning algorithms to analyze video data flows, using the computing power of the BullSequana Edge.
Decide in real time
Real-time decision speeds up the production process. BullSequana Edge allows you to obtain information on a defective product 22x faster. Here, critical lead times on quality control chains are optimized 24H 7/7.
Secure data locally
Intrusion detection and data encryption systems protect your data from external threats.
Data storage and analysis cost in the cloud is significant for high volume and complex data. Thanks to local and autonomous storage and analysis, BullSequana Edge allows lower costs. Data is sent to the cloud for mid-long term storage and monitoring.