An AI-powered diagnostic station validates returned security cameras in less than 120 seconds with 99% accuracy, helping channel partners achieve a 90% cost reduction
Imagine taking a 100-camera troubleshooting project that usually takes 100 labor hours and finishing it in just 3.3 hours or less. That is the reality of AI-driven diagnostics.”— Richard KuMILPITAS, CA, UNITED STATES, August 18, 2026 /EINPresswire.com/ — Trustify Technology, an AI hardware and software firm specializing in device lifecycle automation, today introduced the DeviceDiag AI Platform™, an AI-driven diagnostic station built to automate the testing and validation of returned security cameras for enterprise integrators, distributors, and reverse logistics teams across North America.
Developed specifically for the expanding B2B security and surveillance sector, the DeviceDiag AI Platform™ enables organizations to slash the time, manpower, and operational expenses tied to traditional return merchandise authorization (RMA) processes.
The North American B2B security and surveillance market, estimated at roughly $26.84 billion in 2025, continues to grow rapidly. However, despite improvements in camera hardware and cloud-based management, the industry’s diagnostic and return workflows remain mostly manual, time-consuming, and expensive.
According to industry data, the total cost per security camera RMA incident can exceed $800 when factoring in on-site labor, administrative processing, device replacement, logistics, and system downtime. Organizations often face additional technician dispatches, prolonged issue resolution, and temporary security gaps.
Adding to the challenge, a large share of returned security cameras are labeled “No Fault Found” (NFF), meaning no hardware defect is confirmed after inspection. Such unnecessary returns waste labor, inflate refurbishment costs, drive avoidable inventory replacement, and increase operational inefficiency across the supply chain.
“For too long, the security industry has relied on manual troubleshooting workflows that create unnecessary delays, labor costs, and downtime,” said Andrew Nguyen, Owner and CEO of Trustify Technology. “A single camera issue should not require weeks of back-and-forth diagnostics or multiple technician visits. DeviceDiag AI Platform™ was built to modernize that entire process through automation and AI-driven validation.”
DeviceDiag AI Platform™ combines specialized hardware with AI-powered software automation to carry out full camera diagnostics in a single station, without needing a technician on-site. Using a dedicated Neural Processing Unit (NPU), the system automatically evaluates device health, checks hardware functionality, and delivers a verified pass/fail verdict in under 120 seconds.
The platform runs a complete series of automated tests covering:
Video quality and image integrity
Audio performance
Infrared and night vision functionality
Motion and environmental sensor validation
Network connectivity and communication testing
Firmware recognition and device identification
The system supports Wi-Fi, Ethernet, and 4G/5G cellular-communicant environments commonly used in enterprise surveillance deployments.
Unlike conventional manual diagnostics that often rely on technician interpretation and multiple troubleshooting steps, DeviceDiag AI Platform™ automatically identifies the camera model and firmware configuration with minimal user input. Diagnostic results can be exported as PDF, JSON, or CSV reports for integration into existing warehouse management systems (WMS), enterprise resource planning (ERP) platforms, and operational workflows.
“With DeviceDiag AI Platform™, we are giving enterprise partners a faster and more intelligent way to validate surveillance hardware,” Nguyen added. “By leveraging dedicated NPU acceleration and automated testing workflows, organizations can diagnose video, sensor, and network health with speed and consistency that traditional manual processes simply cannot match.”
For organizations managing large fleets of surveillance devices, the operational impact can be substantial. DeviceDiag AI Platform™ is designed to help reduce unnecessary device replacements, minimize on-site diagnostic visits, accelerate return processing, and shorten the time needed to restore security coverage.
The platform directly tackles one of the industry’s most persistent inefficiencies: extended turnaround times. Traditional RMA resolution cycles often take between one and three weeks, depending on shipping, technician scheduling, and manufacturer review timelines. DeviceDiag AI Platform™ compresses that validation process into minutes, enabling enterprise teams to make faster operational decisions and return functional equipment to service more efficiently.
Richard Ku, VP of Sales and Marketing at Trustify Technology, described the launch as a fundamental shift in the economics of enterprise device troubleshooting.
“The ‘Efficiency Delta’ has arrived. Today, Trustify Technology launches DeviceDiag AI Platform™, and the numbers speak for themselves,” said Ku. “Imagine taking a 100-camera troubleshooting project that usually takes 100 labor hours and finishing it in just 3.3 hours or less. That is the reality of AI-driven diagnostics.”
DeviceDiag AI Platform™ is available now in the United States and Canada, with deployment timelines typically ranging between two and four weeks. Trustify Technology offers solutions for both SMB and enterprise-scale organizations operating across multiple facilities and regions, and provides custom development services, onboarding support, and new camera model integration through its New Product Introduction (NPI) process.
“Our goal is to eliminate unnecessary friction across the entire device lifecycle,” Nguyen said. “Diagnostic automation is becoming a foundational requirement for enterprise surveillance operations — and we intend to lead that shift.”
DeviceDiag AI Platform™
Trustify Technology
+1 626-437-4874
richard.ku@trustifytechnology.com
