Choosing Blyncsy means investing in a smarter, safer, and more sustainable future for your transportation network. We help you move beyond traditional, often costly and time-consuming, inspection methods to a modern, automated approach. This not only significantly reduces operational expenses but also frees up your valuable personnel to focus on strategic initiatives and complex engineering challenges.

• Real-Time, Accurate Data: Gain access to precise, up-to-date information on your roadway conditions and asset inventory.
• Significant Cost Reduction & Increased Efficiency: Automate manual inspection processes and optimize maintenance schedules, leading to potential cost savings of up to 90-96%.
• Improved Safety Outcomes: Proactively identify and address potential road hazards, from potholes to deteriorating signage, before they lead to incidents.
• Enhanced Sustainability: Optimize maintenance to extend asset lifespan, reduce waste, and support environmentally conscious infrastructure management.

Our groundbreaking partnership with Google Cloud integrates Blyncsy’s advanced AI with the full global Google Street View database, offering an unprecedented level of roadway visibility and historical context. This powerful combination allows your agency to:

• Develop a High-Resolution Basemap: Leverage existing, extensive Street View imagery to create a detailed visual foundation of your network, which can be augmented with ongoing dash camera imagery and analysis for continuous updates.
• Enable Highly-Detailed Asset Inspection (LiDAR data coming in 2026): Prepare for future capabilities that will incorporate LiDAR data for even more precise, three-dimensional inspection of road assets and their surroundings.
• Perform Change Detection: Analyze roadway and asset conditions over extended periods by tapping into Street View’s historical archives, identifying degradation patterns, and understanding long-term performance.
• Accelerate Disaster Recovery: Conduct rapid “before and after” damage assessments using historical and current imagery, facilitating quicker response times, efficient resource deployment, and faster access to emergency funding.

Blyncsy’s sophisticated AI and computer vision technology is trained to identify a comprehensive array of roadway features, conditions, and assets from visual data. This enables a detailed and automated understanding of your network’s current state, supporting a wide range of maintenance, planning, and safety applications.

• Pavement condition assessment – Potholes, cracking, paintline visibility and paint remaining, PASER scoring, nighttime paint Retroreflectivity scoring, crosswalk detection.
• Roadway detections – Curbs, gutters, sidewalks, storm drain covers, bike lane striping, vegetation encroachment, debris detection.
• Safety critical assets – Road sign detection and MUTCD classification, sign text recognition, sign damage assessment, guardrail, impact attenuator and cable barrier detection and damage assessment, street light malfunctions.
• Work Zones – Remote work zone monitoring capabilities, barrel and cone detection, message boards and arrow signage, MOT vs plan, missing or damaged sign detection, barrel/cone spacing and taper analysis.