Connect. Detect. Control.
The HKC Vape Sensor is a connected, privacy‑safe detection solution that integrates seamlessly with HKC intruder systems and the SecureComm App.
Connected vape detection, powered by HKC
Introducing HKC's Connected Vape Sensor, a powerful and discreet detection solution designed to tackle the growing challenge of vaping and smoking in restricted environments.
Developed in collaboration with Takex, a globally recognised and trusted manufacturer of high-performance detection technologies, the new sensor combines Takex’s proven sensing expertise with HKC’s advanced intruder alarm platform. This partnership ensures installers and end-users benefit from detection reliability integrated into a smart, connected ecosystem.
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A smarter way to tackle vaping
The new VS-1000E Connected Vape Sensor delivers accurate, real-time detection of vaping and smoking. Its high-sensitivity particle sensor adapts to environmental conditions to minimise false alarms while maintaining fast and dependable detection.
It is ideal for use in areas such as restrooms, corridors and restricted zones, across educational, healthcare and commercial environments where safety, compliance and air quality are crucial.
When connected to the HKC system via an RF transmitter, the sensor enables centralised monitoring and instant notifications via the SecureComm app, ensuring staff can respond quickly wherever they are. At the same time, integrated audio-visual alerts provide immediate on-site notification when vaping or smoking is detected, helping to deter unwanted behaviour and support enforcement policies.
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Easy to install and configure
Designed with installers in mind, the device offers a low upfront cost with no requirement for additional apps or annual licence fees. Its flexible installation features, including push-fit terminals, twist-lock mounting and daisy-chain wiring, allow for fast and efficient insertion.
Additional features such as adjustable sensitivity, configurable alarm outputs, a self-cleaning function and built-in self-diagnostics ensure long-term reliability and adaptability to different environments. The solution avoids the privacy concerns often associated with camera-based monitoring, offering a discreet yet highly effective alternative.
