Smart Shopping at electronica 2026
Edge AI shelf monitoring, face analytics, acoustic components for point-of-sale systems and USB connectors for retail applications.
Adam Tech USB
Adam Tech USB, USB4, Mini USB, Micro USB, and USB Type-C 3.1 series connectors offer a complete line of shielded, hot-pluggable, high-speed I/O interface solutions available in a variety of body styles, sizes, positions, and mounting orientations. Each connector is shielded for superior EMI/RFI protection and features spring contacts for exceptional connectivity performance, while specially designed shells with flares help prevent misconnection and kinked boardlocks ensure strong, stable PCB attachment. Adam Tech’s HSecurLinC USB latching connectors and cable assemblies further enhance this offering by providing secure, reliable connections with integrated locking features. An ideal solution for low-cost, high-speed, and secure connectivity to peripheral devices.
Acoustic Solutions for Point of Sale
Discover our comprehensive portfolio of MEMS and ECM Microphones, Micro Speakers, buzzers and vibration motors for Point of Sale systems and retail applications.
From voice input and audio feedback to acoustic notifications and tactile confirmation, our components support intuitive user interaction and reliable operation in modern retail environments. They can be integrated into a wide range of applications, including self-checkout systems, payment terminals, interactive kiosks, barcode scanners and customer-facing devices.
Combining compact designs, reliable performance and flexible integration, our acoustic solutions help enhance usability, provide clear feedback and support efficient transaction processes.
Fridge Planogram Monitoring
Automated Shelf Audits | Planogram Compliance | On-Device Vision AI
Continuous shelf monitoring with on-device Vision AI, no manual checks needed.
This demo shows a smart vision system that monitors the products in a refrigerator or retail display, with all processing done at the edge. The system recognizes every product on each shelf and compares its position with the predefined planogram. It detects products in the correct place, misplaced products, empty or missing slots, and the product categories on the shelves. Retailers get a continuous, clear view of shelf conditions without manual inspection, helping to improve product availability, keep placement correct and support better store operations.
🔍 Shelf Analysis: What the System Detects
Products in the correct location and misplaced products
Empty or missing product slots and product categories
📈 Retail Value: Better Store Operations
Higher product availability and consistent planogram compliance
Less time spent on manual shelf inspection
⚙ Hardware Set Up (+ IOT Neomesh Low Power Network Connectivity)
Grinn AstraOneSBC-1680 (Synaptics SL1680): Edge AI Compute
Quad-core Arm Cortex-A73 with integrated 7.9 TOPS NPU
AI runs fully on the board, no extra accelerator needed
YDS-UAA78-IMX335 V1.0 (Planogramm)
5MP Sony IMX335 M8 Auto Focus USB 3.0 Camera Module
YDS-USB-M2-05100-F118 (Face Analytics)
5MP 2K M12 Fixed Focus USB 2.0 Camera Module
Face Analytics & Identity Verification
Real-Time Face Analytics | Identity Verification | On-Device Vision AI
Face Analytics and Identity Verification in Real Time, processed at the Edge.
This demo shows a vision system that analyzes faces in real time, with all processing done at the edge. The system detects and locates a face in the camera view, estimates the person's age range and gender presentation, and recognizes facial expressions such as happy, neutral, surprised or sad. It can also verify a person's identity by comparing the face with a registered reference image. The solution suits access control, customer experience analysis, smart kiosks, attendance systems and personalized services.
🙂 Face Analytics: Real-Time Attribute Estimation
Face detection, age range and gender presentation
Expression recognition: happy, neutral, surprised, sad
🪪 Identity Verification: Face Matching
Compares a live face with a registered reference image
Clear identity verification status for every check
⚙ Hardware Set Up (+ IOT Neomesh Low Power Network Connectivity)
Grinn AstraOneSBC-1680 (Synaptics SL1680): edge AI compute
Quad-core Arm Cortex-A73 with integrated 7.9 TOPS NPU
AI runs fully on the board, no extra accelerator needed
YDS-USB-M2-05100-F118
5MP 2K M12 Fixed Focus USB 2.0 Camera Module