Fotric H-series
High-Performance Acoustic Imaging Camera
H4 | H6
162 MEMS Digital Michrophone
LED Flash Lamp
Flash Light Mode
Applications:
Leakage Cost Evaluation Partial Discharge Diagnosis
On-device Analysis
Identifies Discharge Types Directly
Exceptional Sensitivity
Up to 162 MEMS Digital Microphones
-
up to 162 MEMS Digital Microphone
-
6.6-inch Spiral Array Layout
-
66°×52° Acoustic Image Field of View (FOV)
-
13 Megapixels Industrial Digital Camera
FOTRIC H series boasts exceptional sensitivity thanks to its array of up to 162 MEMS (Micro-Electro-Mechanical Systems) digital microphones. This advanced technology ensures the camera detects even the faintest acoustic signals, identifying small gas leaks or minor electrical discharges that could otherwise go unnoticed until they escalate into major issues.
A standout feature of the FOTRIC H series is its Acoustic Focus Mode. This mode filters out background noise and interference, allowing the camera to zero in on a specific area of interest.
With this precision targeting, inspectors can accurately pinpoint the source of issues—whether it’s a subtle gas leak or a localized partial discharge—without being distracted by surrounding noise.
Dual-Function Excellence
Leak Evaluation and Partial Discharge Detection
The FOTRIC H series excels with its dual capability to evaluate gas leaks and detect partial discharges. This unique combination makes it an essential tool for professionals in industries where equipment reliability is critical. By integrating these functions, the H-Series helps users manage assets more efficiently, reducing downtime and preventing costly failures.
Gas Leakage Evaluation
The H series Leak Evaluation mode does more than just detect leaks—it quantifies their financial impact on compressed air systems, gas pipelines, and other pressurized systems. By calculating the cost of leaks, users can prioritize repairs based on potential savings, making maintenance decisions more strategic and impactful.
Partial Discharge Applications
The H series takes Partial Discharge (PD) detection to the next level with automated diagnosis, accurately identifying the type of discharge occurring. This feature is vital for electrical systems like transformers and switchgear, where different discharge types signal varying levels of risk.