After 8 years of research in Birkenfeld, we cracked the code: making odors measurable, scalable, and auditable. Our SensorTrainer transforms affordable gas sensors into intelligent e-noses and trains them with custom "odor brains".
Increasing recycling quotas present new quality challenges. Quality control needs to be faster, cheaper, and more scalable.
EU regulations mandate 25% recycled PET by 2025 and 30% by 2030. The new Packaging Waste Regulation (PPWR) introduces broader recycling obligations.
Recyclates often smell badly – perceived quality drops. Undesired odors create acceptance problems for end customers.
Expensive, slow, manual, with limited availability. Lab instruments are precise but costly and require trained personnel.
Raw sensors are unreliable: drift, variations, no plug-and-play. Standard sensors drift, vary from unit to unit, and need application-specific calibration/training before they reliably detect target odors.
Reliable, repeatable odor quality control at a fraction of lab costs. Perfectly timed for rising recycled quotas and tightening VOC compliance.
Automatically calibrates MOX gas sensors using ML-optimized heating cycles and signal processing. Transforms commodity sensors into specialized odor detectors for your specific VOC profiles.
Rollout odor profiles across entire sensor fleets. Updates for drift or new odors possible. Once trained, deploy anywhere – from lab to production line.
Standardized tests provide real-time pass/fail results, trends, and audit trails. No more lab bottlenecks – integrable directly at production lines.
Portable trainer and handheld device enable on-site training and decisions in minutes instead of weeks. From lab to shop floor to mobile QS.
Patent pending: EP 4617659 A1
Filed by Hochschule Trier, Umwelt-Campus Birkenfeld.
8 years of research by HAIVEMIND's founding team in sensor AI and odor analysis.
Tech transfer ready through university agreement.
From raw data to objective quality decisions – fully automated and in real-time.
MOX gas sensors capture VOC signatures of your samples under controlled conditions. Multiple sensors in parallel for comprehensive odor profiles.
AI analyzes data collected from gas sensors in real-time. Odor profiles are identified and deviations automatically flagged. LLMs interpret data to make results accessible for everyone.
Automated, objective, and scalable quality control. Pass/fail decisions, trend analysis, and full audit trails for VDA 270 compliance.
Fully integrated solution – from sensor board to AI software.
Ultra-precise analysis station for comprehensive odor profile development and reference measurements. Screening up to 25 samples in parallel.
Portable training unit for on-site training and shop-floor decisions in minutes. Perfect for mobile QS and field applications.
In-house designed PCB with various sensors for all our custom devices. Edge AI processing directly on the board.
Product feasibility proven across various industries and business fields.
Pilot project with German OEM and international Tier-1
VDA 270 alignment for interior components.
Odor control at final vehicle acceptance and sample testing of individual interior components.
✓ Replaces time-consuming subjective evaluation with fast objective measurement
✓ Potential for all premium and volume OEMs worldwide
Ongoing tests with two major German brands
Quality control in incoming inspection of granulates/recyclates for toy manufacturing.
Contamination avoidance.
✓ Potential for entire plastics production through EU regulations (30% recycled content)
✓ Faster inline QS through process integration
Feasibility study with large German OEM
Sensor application in incoming QC for plastic recyclates in injection molding.
QC for finished components from T2 suppliers.
✓ Expansion into raw material QC for formulas planned
✓ Collaboration with equipment manufacturers in Phase II
Demonstrator with international hotel chain
VOC-based bedbug detection. Proactive detection through e-nose, risk dashboard, and attract-and-kill trap.
✓ Reduces revenue loss from room downtime
✓ Potential for global hotel chains – replaces manual, reactive inspections
Eliminates subjectivity and provides consistent, data-driven results
Enables real-time decisions – no lab bottlenecks
Mobile, modular devices for seamless on-site or inline integration
Affordable setup with effortless scaling across multiple locations
Only HAIVEMIND offers the combination of real-time inline QC, fleet-wide model deployment, and a complete edge AI stack.
Schedule a free 30-minute demo and see the SensorTrainer in action. We will show you how objective odor control transforms your QA.
✓ Free 30-min demo • ✓ ROI calculation • ✓ Technical whitepaper • ✓ No obligation