Wearable Drug-Detection Garment Prototype
Budget: $1,500 – $3,000 USD
I’m developing a graduate-level research project that merges smart textiles with security screening: an item of electronic clothing able to detect concealed drugs by combining millimeter-wave sensing with an onboard AI classifier.
Where I am right now
• Concept development for the millimeter-wave chip placement and antenna layout is underway, but I need an experienced hand to transform these early sketches into a fully realised design and working prototype.
What I need from you
• End-to-end design and prototyping of the garment, selecting suitable fabrics, conductive threads, flexible PCBs and power management solutions that can live comfortably inside everyday clothing.
• Integration of both technologies—millimeter-wave chips for penetration sensing and an embedded AI module (edge or companion-device-based) that can instantly identify common narcotics from the raw signal.
• Clear documentation: schematics, Gerber files, firmware, AI model architecture and training dataset references so the work is reproducible for academic review.
• A brief test plan showing how you will verify detection accuracy, false-positive rates and wearer comfort.
Key constraints
• Timeline: prototype and report must be delivered within 2 calendar months.
• Budget ceiling: 10,000 SAR all-in, so mindful component selection and staged milestones are essential.
If you have a track record in smart textiles, RF hardware or compact embedded AI, let’s talk and build something that can make security checks faster and less invasive.
Where I am right now
• Concept development for the millimeter-wave chip placement and antenna layout is underway, but I need an experienced hand to transform these early sketches into a fully realised design and working prototype.
What I need from you
• End-to-end design and prototyping of the garment, selecting suitable fabrics, conductive threads, flexible PCBs and power management solutions that can live comfortably inside everyday clothing.
• Integration of both technologies—millimeter-wave chips for penetration sensing and an embedded AI module (edge or companion-device-based) that can instantly identify common narcotics from the raw signal.
• Clear documentation: schematics, Gerber files, firmware, AI model architecture and training dataset references so the work is reproducible for academic review.
• A brief test plan showing how you will verify detection accuracy, false-positive rates and wearer comfort.
Key constraints
• Timeline: prototype and report must be delivered within 2 calendar months.
• Budget ceiling: 10,000 SAR all-in, so mindful component selection and staged milestones are essential.
If you have a track record in smart textiles, RF hardware or compact embedded AI, let’s talk and build something that can make security checks faster and less invasive.