Industrial Computer Vision & Safety AI
We transform legacy security camera grids into proactive safety networks. Connect your existing feeds to run local edge AI playbooks and protect your workforce in real time.
Pioneering Proactive Vision
Evolving from computer vision R&D labs, LogiScan was created with a single focus: to replace passive video recording with active accident prevention. Historically, facilities relied on CCTV cameras that only recorded incidents post-event. We set out to turn these feeds into real-time safety guardians.
Our small, dedicated engineering team built the LogiScan gateway to process video streams locally at the edge. By running high-accuracy safety playbooks completely on-premises, we deliver sub-second hazard alerts (via Slack, Teams, or webhooks) while maintaining absolute data privacy and zero video retention.
Engineering a Safer Physical Frontier
We bridge the gap between traditional surveillance and automated facility operations, translating passive video streams into real-time preventative actions.
Our Mission
Our mission is to eliminate workplace accidents by converting passive video feeds into real-time safety telemetry. We empower industrial operators and safety managers with proactive edge AI vision analytics and EHS compliance tracking tools to identify hazards before they cause injuries. We strive to protect workforce lives, lower operational risks, and optimize machine efficiency by delivering high-confidence alert metadata. By processing raw video streams locally on-premises and applying built-in face-blurring filters, we guarantee absolute data privacy and security inside your corporate intranet, eliminating the WAN latency and data leak risks of cloud-dependent solutions.
Our Vision
Our vision is to build the universal visual safety operating system for heavy industry. We envision a future where human workforces, heavy machinery, and complex physical environments operate in absolute visual harmony. Through open software standards, hardware-agnostic edge AI playbooks, and seamless API integration hooks, we aspire to redefine the global standard of zero-accident environments. We strive to pioneer a future where intelligent CCTV networks don't just record historical incidents, but actively predict and prevent them, establishing an automated safety loop across manufacturing plants, warehousing spaces, and logistics hubs worldwide.
Our Core Directives
The principles that guide our product decisions, model compilation rules, and data operations.
Zero Incident Operations
Our absolute focus is proactive accident prevention. We believe that real-time visual telemetry can eliminate site injuries, forklift collisions, and hazardous zone breaches before they occur. By equipping EHS safety teams with instant edge AI alerts, we help enterprises move from retrospective audits to active, real-time risk mitigation, securing a safer operational frontier.
Absolute Privacy Protection
Industrial computer vision must respect worker privacy. Our system applies real-time face-blurring and vehicle license plate masking filters directly at the local stream encoder level before any data dispatch. We maintain a strict zero-retention policy for raw video records, discarding frames instantly from local RAM buffer to ensure complete compliance with GDPR and CCPA privacy laws.
Actionable Event Delivery
Security alerts are useless if they reach safety crews too late. We optimize our neural network compilation and edge inference pipelines to package and route structured event metadata in under 2 seconds. By dispatching alerts directly to Slack, Microsoft Teams, or custom REST webhooks, we ensure EHS leaders can intervene immediately to prevent accidents.
Impact Statistics
Key operational parameters validating the scale, efficiency, and reliability of our vision systems.
15+
24/7
99.9%
10K+
Validated by EHS Leaders
"LogiScan transformed our facility safety compliance. We went from manual weekly audits to 100% automated real-time alerts. Our PPE compliance rates skyrocketed to over 99.8% within two weeks of turning on the edge inference system."
Sarah Jenkins
VP of Global Environmental Health & Safety · Apex Global Logistics