The system processes data locally and warns the user instantly, before critical weight is applied.
Target Audience: Where SafeStep Saves Lives
SafeStep provides critical risk mitigation for professionals operating in the most hazardous zones globally.
Military Personnel
Enhanced force protection during reconnaissance, patrol, and operational missions in active or post-conflict theaters.
Humanitarian Demining
Increasing the safety and efficiency of NGOs and local teams working to clear contaminated land globally.
Peacekeeping & Disaster Response
Providing an essential layer of protection for international peacekeeping forces and first responders in unstable environments.
Cost Structure: From Prototype to Mass Production
The current prototype is designed for rigorous testing and rapid iteration. Mass production dramatically lowers the cost per unit, ensuring scalability.
1
2
1
Prototype Cost
~$3,500
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Scalable Unit Cost
$1,500 – $2,500
Sustainable Business Model
Our model combines initial capital expenditure with recurring revenue streams, fostering long-term partnerships and continuous improvement.
Hardware Sales
Bulk procurement of SafeStep boots/devices by defense and humanitarian organizations.
Software Licensing
Annual license for access to the latest, most accurate AI detection model updates.
Maintenance & Data
Subscription service for ongoing support, data collection, and integration with mapping platforms.
Strategic Partnerships
Collaboration with governments and NGOs for widespread, standardized deployment.
The Engine: Introducing the AlexNet Deep Learning Model
AlexNet is a proven, high-performance image classification architecture adapted for our unique application—classifying terrain visual signatures in real-time.
Optimized for Speed
Its architecture is streamlined, allowing it to run efficiently on low-power, wearable hardware for rapid inference.
Core Function
Classifies input images of the ground as "Safe" or "Mine Risk" by analyzing subtle visual anomalies.
How SafeStep’s AI Works in the Field
The process is immediate, transforming raw visual data into a critical safety decision in milliseconds.
Image Capture
Integrated boot camera continuously captures high-res terrain images.
Data Preprocessing
Images are resized, normalized, and optimized for consumption by the AlexNet model.
Visual Analysis
AI analyzes patterns, texture changes, and subtle color shifts indicative of buried objects.
The Neural Network Architecture
The specialized AlexNet adaptation uses a layered structure to accurately interpret complex, noisy terrain data.
5 Convolutional Layers
Responsible for feature extraction, identifying edges, shapes, colors, and textures associated with mines.
3 Fully Connected Layers
Takes the extracted features and performs high-level reasoning to make a classification decision.
Softmax Output
Provides a quantifiable probability score for the presence of danger, ensuring transparent decision-making.
Training & Validation
Trained on thousands of diverse, labeled datasets (safe vs. mined terrain) using high-speed cloud GPU resources.
SafeStep: The Next Generation of Intelligent Defense
Personal Safety First
A personal safety device integrated with human mobility, unlike remote or purely robotic solutions.
Combined Intelligence
Fuses high-resolution sensing, deep learning AI, and rugged portability for unprecedented accuracy.
Affordable & Scalable
Low unit cost allows for large-scale procurement by governments and international bodies.
Actionable Data
Includes haptic alerts, GPS mapping, and continuous learning to improve safety protocols across teams.
SafeStep isn't just about finding mines; it's about empowering human movement in high-risk environments.