AI GMP monitoring, PPE compliance detection, hygiene monitoring, predictive analytics, real-time risk systems and smart factory sensors — the technology layer that turns your production floor into a continuously monitored, data-driven compliance environment.
AI-powered GMP (Good Manufacturing Practice) monitoring systems that install directly onto any existing IP or CCTV camera infrastructure via RTSP stream — with no new hardware required in most cases. The AI model runs inference locally on an edge server, continuously analysing camera feeds for GMP non-conformities including missing or incorrect PPE, hygiene procedure violations, unauthorised zone entry and personnel behaviour that conflicts with food safety requirements. Every detection is timestamped, classified and stored, creating a verifiable 24/7 compliance record across every shift without a human auditor present. Unlike periodic audits that capture a snapshot, AI GMP monitoring captures everything, all the time.
Dedicated AI detection systems for monitoring Personal Protective Equipment compliance across food production environments. The system recognises the presence and correct use of hairnets, beard snoods, gloves, aprons, dedicated footwear and face coverings — alerting supervisors in real time when a staff member enters a production zone without required PPE or removes PPE during production. PPE non-compliance is one of the most common non-conformities identified during IFS and BRCGS audits, and one of the hardest to control through manual supervision alone. AI PPE monitoring removes the human dependency entirely.
AI vision systems trained to monitor hygiene procedure compliance in food production environments — detecting when required hygiene steps are skipped, performed incorrectly or bypassed under time pressure. The system monitors hand washing and sanitization station usage, cross-contamination events such as touching non-food surfaces and then product, equipment cleaning adherence between product runs and personnel movement between zones without hygiene steps. Hygiene failures that would previously only be discovered during an internal audit or following a contamination event are flagged in real time, when they can still be corrected.
AI-powered production monitoring systems that track operational performance, equipment behaviour and process adherence across the production floor in real time. The system uses existing camera infrastructure to monitor line speeds, equipment utilisation, personnel workflow efficiency and deviation from standard operating procedures — providing production managers with a live view of what is happening on the floor without physically being there. Anomalies in production flow, unexpected stops, equipment misuse and staffing gaps are detected and flagged as they occur.
Predictive analytics platforms that analyse historical food safety data — CCP monitoring records, corrective action logs, environmental monitoring results, supplier performance data and production parameters — to identify patterns that precede food safety failures before those failures occur. Rather than reacting to non-conformances after the fact, predictive analytics surfaces the leading indicators that signal increased risk, allowing management to intervene proactively. Particularly valuable for facilities with high audit frequency, complex multi-product lines or a history of recurring non-conformances in specific areas.
Integrated real-time risk monitoring platforms that aggregate data from across a food safety system — CCP sensors, environmental monitoring results, personnel hygiene compliance, equipment status and production parameters — into a single risk dashboard that gives operations and food safety managers a live view of current risk level across the entire facility. When multiple indicators move in an adverse direction simultaneously, the system raises a composite risk alert before any individual threshold is breached, enabling early intervention. Designed for facilities that want to move from reactive food safety management to continuous, data-driven risk control.
A range of IoT sensor technologies for food production environments — monitoring temperature, humidity, CO2, differential pressure, vibration, energy consumption and equipment operating parameters in real time. Smart factory sensors form the data collection layer of an integrated food safety and production monitoring system, feeding continuous readings to HACCP platforms, building management systems and production dashboards. Available in food-grade, washdown-rated housings with wireless connectivity options including WiFi, LoRaWAN and NB-IoT for deployment across large or complex facilities without cabling infrastructure.
Integrated monitoring systems for the continuous measurement of production environment parameters — temperature, humidity, differential pressure, particulate levels and airborne microbial contamination — in food manufacturing facilities. Production environment monitoring is a mandatory requirement in high-care and high-risk food processing areas under IFS and BRCGS standards, and a fundamental element of HACCP hazard control for facilities where environmental conditions directly affect product safety or quality. Systems provide continuous data logging, trend analysis and automated alerts when parameters drift outside defined limits.
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