Company patents

Kamstrup A/S

Kamstrup A/S's patent strategy shows a surprising shift away from its core "Flow / Volume Measurement" area, which constitutes 52.8% of its portfolio but has seen a significant decline of 75.0% so far in 2026. Concurrently, the company appears to be exploring new avenues, with "Material & Chemical Analysis" showing rapid growth of 200.0% in 2025, although this has also seen a sharp decline so far in 2026, indicating a dynamic and potentially fluctuating R&D focus.

Patent Trend by Technology Area

Yearly patent publications since 2023

Product themes

Product-level themes inferred from filings since 2023, with category chips showing where each theme appears. Select a theme to filter the patents below.

53 US filings (since 2023) · 7 categories · 7 themes

Flowmeter Design & Diagnostics

Innovations in the construction, integration, and operational verification of flow measurement devices, including methods for calibration, fault detection, and structural integrity monitoring.

Flow / Volume Measurement
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28since 2023
-22.2%YoY
Multiphase Fluid Measurement

Technologies for measuring the flow rate, level, or composition of mixtures containing multiple fluid phases (e.g., liquid-liquid, liquid-gas, liquid-solid suspensions), often employing specialized sensing principles to differentiate components.

Flow / Volume Measurement
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17since 2023
+100.0%YoY
Leak and Seal Integrity Testing

Methods and systems for detecting fluid or gas leaks, or assessing the quality and continuity of seals in containers, systems, or structures. This often involves pressure changes, electrical properties, or acoustic analysis.

Machine Testing
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8since 2023
-33.3%YoY
IoT Device & Network Management

Methods and systems for monitoring, controlling, and managing Internet of Things (IoT) devices and their communication networks, often involving adaptive or intelligent frameworks for data acquisition, relay, and automation.

Web & Cloud Service Protocols
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2since 2023
+100.0%YoY
Antenna Isolation & Interference Mitigation

Techniques and structures used to reduce unwanted electromagnetic coupling, scattering, or interference between multiple antennas, different frequency bands, or sensitive electronic components within a device.

Antennas
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2since 2023
+100.0%YoY
Advanced Level Sensing Technologies

Techniques utilizing various physical principles (e.g., radar, capacitance, ultrasound, thermal, optical, force) to accurately determine the fill level or presence of substances in containers, often under challenging conditions.

Flow / Volume Measurement
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2since 2023
new
Acoustic and Vibration Diagnostics

Utilizing sound and vibration analysis to detect malfunctions, assess balance, or monitor the operational health of machinery and structures. This often involves sensors, signal processing, and pattern recognition.

Machine Testing
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2since 2023
0.0%YoY

Patents

Showing 61-70 of 135

Page 7 of 14
US 20220224581 A1APPLICATION
H04L27/26

SENSITIVE AND ROBUST FRAME SYNCHRONIZATION OF RADIO FREQUENCY SIGNALS

Filed:2020-05-27Pub:2022-07-14
Applicant:Kamstrup A/S

A method for detecting a constant envelope burst-mode radio frequency (RF) signal with a known periodic synchronization sequence (PSS) represented therein, e.g. to be for reading of data from utility meters. An incoming RF signal is transformed into a digital baseband signal (DBS), and the phase domain part is processed by: 1) applying a correlation algorithm to correlate the DBS with a synchronization pattern corresponding to the PSS. 2) filtering the resulting correlation signal for removing at least a DC component of the correlation signal. 3) down-sampling the filtered correlation signal (or the correlation signal) with a sampling time controlled by a clock aligned with amplitude peaks in the filtered correlation signal (or the correlation signal). 4) performing a decision algorithm on the down-sampled signal to determine if PSS is present in the incoming RF signal. Then, 5) generating an output signal indicating if the known PSS is present in the incoming RF signal, in response to a result of the decision algorithm. The steps 1)-5) serve to detect if an amplitude in the correlation signal indicates the presence of the known PSS. Preferably, a second decision algorithm serves to detect if periodicity in the correlation signal indicates the presence of the known PSS, and finally the results of the first and second decision algorithms can be combined, e.g. by a logic AND operation, to arrive at a sensitive and reliable PSS detection result.

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