Download PDF
Powerful Analytics Boosts High-Tech Threat Detection
Technology Category
- Analytics & Modeling - Big Data Analytics
- Analytics & Modeling - Predictive Analytics
- Functional Applications - Manufacturing Execution Systems (MES)
Applicable Industries
- Security & Public Safety
Applicable Functions
- Product Research & Development
- Quality Assurance
Use Cases
- Machine Condition Monitoring
- Predictive Maintenance
- Process Control & Optimization
- Supply Chain Visibility
Services
- Data Science Services
- System Integration
- Training
The Challenge
FLIR Systems needed a way to analyze massive amounts of data within its Explosive Threat Detection business to improve product quality, reduce downtime, and accelerate R&D. The company faced challenges in monitoring incoming parts from suppliers, as any slight variation could have huge consequences. Additionally, the manual analysis of streaming data from multiple systems was time-consuming and inefficient, often taking hours to interpret and translate into usable information.
About The Customer
FLIR Systems Inc. is a technology company based in the United States, employing around 2,800 people. The company specializes in the development and manufacturing of high-tech threat detection systems, including handheld devices designed to detect trace levels of explosives. The Explosive Threat Detection business unit at FLIR focuses on ensuring the highest levels of product quality and detection accuracy, which is critical for their operations. The company works with various suppliers to source parts for their highly calibrated technologies, making supply chain monitoring a crucial aspect of their business.
The Solution
FLIR Systems implemented Statistica’s advanced analytics platform to automate the analysis of their manufacturing and testing data. This solution allowed FLIR to detect problems early in the process, reducing downtime by 30 percent and cutting per-unit costs by 50 percent. The platform aggregates and analyzes high volumes of streaming data from internal processes and the supply chain, providing automated alerts and reports to stakeholders. By setting up automated workflows, FLIR can now complete complex processes in minutes, significantly improving productivity and allowing more focus on other critical areas.
Operational Impact
Quantitative Benefit
Related Case Studies.
Case Study
Smart City Public Safety
Amyx+ worked with a local government authority to develop an Internet of Things-enabled public safety strategy. In the current state, vigilance meant manually scanning through potentially hundreds of analog surveillance videos feeds. Manual, costly and ineffective, the local agency desired to transition from analog to digital CCTV, apply computer vision and other technologies to automatically detect potential crime in progress, expedite and streamline emergency calls and integrate with personal wearables to ensure the safety of their citizens.
Case Study
Intamac And Securitas Collaborate To Improve Monitoring Structures
Securitas wanted to give new and existing customers a proposition that was unlike anything they had offered before, a security system that broke the traditional mould but took advantage of the monitoring infrastructure that was already in place, including the manned response capabilities and alarm receiving centres.
Case Study
EUROPEAN SYNCHROTRON RADIATION FACILITY USES WIN-911 SOFTWARE TO MANAGE ALERT SY
As one might easily imagine, there is no shortage of opportunities for disaster to strike in such a large and complex operation. Because of this, the ESRF is now using WIN-911 alarm notification software to help protect the facility and its occupants.