SafeSoi is an innovative web application designed with the safety of climbing and outdoor equipment users in mind. The project combines advanced machine learning technologies with an intuitive user interface, enabling comprehensive equipment management and systematic safety verification.
The application uses a proprietary artificial intelligence model for automatic photo analysis of equipment, detecting microcracks, deformations, wear marks, and other potential defects invisible to the naked eye. The system allows cataloging of all owned equipment, tracking usage history, expiration dates, and maintaining comprehensive inspection documentation. SafeSoi excels in professional applications – from climbing schools, through equipment rental companies, to training organizations requiring the highest safety standards.
Application features:
- Equipment model management system enables creation of a reference database with technical documentation, reference photos, and usage parameters for each type of equipment
- Equipment unit cataloging module allows registration of individual items with serial numbers, production and purchase dates, and tracking of inspection frequency
- Advanced AI-integrated inspection system automatically analyzes uploaded equipment photos, detecting anomalies, damage, and deformations with precision exceeding the human eye
- Inspection history documents every check with date, ML analysis results, detected anomalies, and comparative photos, creating complete safety documentation
- Verification queue system manages equipment requiring manual expert assessment when the ML model detects potential hazards or wear levels exceed safe standards
- Configurable admin panel allows customization of ML model parameters, anomaly detection thresholds, and system user permissions management
- Automatic notifications and alerts inform about upcoming inspection deadlines, detection of critical damage, and equipment withdrawn from use due to safety concerns
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Main Dashboard
Central system view presenting a summary of active models, equipment units, completed inspections, and pending verifications with quick access to key functions.
Model Details
View presenting complete information about a specific equipment model along with a database of reference photos used by the ML system for comparisons during inspections.
Edit Model
Form enabling modification of equipment model parameters, adding technical documentation, and updating the reference photo database for the machine learning system.
Inspection History
Chronological list of all conducted equipment inspections with ML analysis results, detected anomalies, and verification statuses for individual units.
System Configuration
Administrative panel enabling adjustment of anomaly detection thresholds, ML model parameters, and management of criteria for marking equipment as functional or damaged.
Equipment Unit Details
View presenting the complete history of a specific equipment unit with production, purchase, and usage dates, plus a list of all conducted inspections with results.