Schools
A school day worth protecting.
Explore the place ↗Intelligence for the physical world
Designed for 24/7 awareness, Aspinos connects cameras, access events and operational systems to recognise risks, coordinate responses and keep your site running.
Who turns a warning
into action?
Connect the camera view to the place, the task and the people who can act.
One place comes into focusSchool entrance
SchoolsCommunityHotelsIndustry
The spatial view is unavailable. The camera references remain visible; explore the story below.
SIMULATED · Illustrated sources and workflows
A school day should never end in violence.
An armed threat needs more than a recording. The right people need the location, the evidence and a way to respond together.
The concern is visible. Who needs to know?
Bring the entrance, the evidence and the missing information to the people responsible for the response.
Give the response a place to start.
Agents check the site rules, gather the case and prepare each recipient’s task.
Agents run the work. People hold the authority.
In this illustrated response, each recipient has a task. A consequential instruction stays with the named decision-maker.
A response needs follow-through.
Follow who has acknowledged, what still needs checking and which decisions remain open.
SIMULATEDIllustrative site context
SIMULATED · School workflow illustrationProtect people.
Support your staff.
Put intelligence to site.
A blocked route. A staff report. A concern at an entrance. Each can leave people searching for context before they can respond.
Aspinos brings that context into one case, gives the next task an owner and keeps decisions and follow-up connected.
Every signal belongs to a place.
Choose a place. Follow its sources, context and next task.
Illustrated source view · SIMULATED
School east exitSCHOOL-CAM-EGRESSSource view
Evidence behind this answer
SIMULATED · Interactive example
Illustrated geometry and authored records
The freedom to gather.
Help caretakers and volunteers keep entrances accessible, share concerns and coordinate the next check.
Ordinary life. An observable concern.
Configured emergency response
Waiting for evidence and permission.
Separate decision for the safety lead
Authorise a wider protective instruction
A wider instruction stays with the community safety lead.
SIMULATED · Authored scene reference
Different places. Work that connects.
A factory boundary. A hotel concern. A waiting queue. Follow each observation into the work it needs.
An approaching worker.
A boundary to check.
Observe the conditionSIMULATED · Authored scenario
Start with the people
who depend on the place.
Explore the checks, handovers and responses that matter to each team.
The operating system for AI agents that act in physical places.
Connect observations to the site’s rules and responsibilities. Agents check the case, prepare tasks and coordinate permitted work. Consequential actions wait for a named person.
Explore the platform ↗Locate the observation.
Place the source on the site. Keep its condition and the local rules beside the observation.
SIMULATED · Authored site modelCheck the evidence.
Give the work an owner.
Keep what happened, what remains unknown and who needs to act together in one case.
SIMULATED · Illustrative workflow
Build this connection with us ↗Your cameras.
A connected way to work.
Start with supported camera inputs. Add site context, defined agent work and the permissions each action needs.
Connect the inputs
Start with a supported camera input and its known operating conditions.
Explore deployment ↗SIMULATED · Conceptual architecture
Aspinos connects perception, site context and agent work. CPU camera-processing experiments inform the design; further model adaptation, training and site evaluation are development work.
Read the measured conditions ↗See what runs today.
See what comes next.
Inspect the prototype’s task and decision records, the separate camera-processing experiments and the next evaluation work.
SIMULATED · Illustrative records
The scenes on this page are authored scenarios. Prototype records and measured evaluations retain their own sources, conditions and limits.
The people
building Aspinos.
Co-founder & CTO
Sharoze Ali
Istanbul, Türkiye
Computer vision and edge AI engineer focused on real-time physical-world intelligence. Sharoze leads Aspinos’ perception and runtime stack, from camera ingestion and vision pipelines to optimised edge deployment.
Background
Meet Sharoze on LinkedIn Netcad · IEEE · NVIDIA Edge AI
Co-founder & CEO
Yusuf Baykal Bozkurt
Toronto, Canada
Entrepreneur, AI strategist and founder of Beonbrand Inc., with a background in international broadcast journalism at Al Jazeera Turk. Yusuf leads Aspinos’ product vision, strategy, partnerships and market development.
Background
Meet Yusuf on LinkedIn Fulbright Canada · YLAI · Beonbrand · Al Jazeera Turk