FLIR Si-Series Acoustic Imaging Cameras

Leaks in compressed air and specialized gases, mechanical malfunctions, and electrical partial discharges are costly problems that waste energy, leading to unexpected expenses and potential disruptions in production and operation. Utilizing ultrasonic imaging with an acoustic camera offers an efficient method for finding these equipment issues as part of a comprehensive asset management strategy. The FLIR Si-Series provides an ideal tool for pinpointing problem areas in compressed air systems and identifying partial discharge in high-voltage electrical setups. This lightweight, handheld detector can assist professionals in utilities, manufacturing, and engineering to identify wasted energy and potential breakdowns up to ten times quicker than conventional techniques, requiring minimal training.

Why Choose a FLIR Acoustic Imager?

Easy, Single-Handed Operation: Maintain operator safety and minimize neck strain by keeping one hand free during equipment inspections.

Superior Sound Capture with Numerous Microphones: Si-Series cameras incorporate a high count of microphones, enabling the detection of very quiet sounds from afar for effective acoustic imaging. This is especially critical when inspecting high-voltage systems for potential air leaks, requiring a safe standoff distance from live equipment. The intensity of sound diminishes significantly with distance, making a higher microphone count essential. Increasing the number of microphones, such as quadrupling it, effectively doubles the sound detection range. The cameras are designed with an optimized dynamic range to balance frequency sensitivity with sound travel distance, with lower frequencies offering greater range.

Scalable for Enterprise Use: Manage and maintain equipment effectively in large industrial settings using features like fleet management, cloud-based data integration, and wireless software updates. Supporting software also provides integration with data logging systems, cloud and desktop reporting, and the ability to combine infrared and acoustic inspection programs. The Si-Series includes an Organization feature, simplifying the follow-up of reports generated across different locations, cameras, and users.

Machine Learning for Sound Differentiation: FLIR Si-Series utilizes machine learning to distinguish the specific sound signatures of leaks and partial discharge from ambient noise, similar to differentiating a harmonica from a bell playing the same pitch. The combination of numerous sensitive microphones and sophisticated computer processing with machine learning allows these imagers to differentiate between background noise and defect-related noise based on properties beyond just frequency.