Products working in the field with Edge AI and computer vision
Infereal; It establishes video analytics, on-device inference and deployment-ready computer vision systems for retail, manufacturing, smart access, event and industrial monitoring scenarios.
Why does Infereal produce value faster in the field?
We combine discovery, model selection, edge deployment and operations layer into a single delivery flow. In this way, teams move from the idea stage to live operation in a more controlled manner.
Not a single demo, but a growing edge AI infrastructure
Infereal; It treats quality control, security analytics and retail insights as solution areas that feed each other. As the need grows, the installation expands with the same logic.
Quality control with Edge AI
Field-ready solution package for defect detection, optical control and anomaly detection on the production line.
- Product-based model and camera calibration
- Interference offline or within the local network
- Open quality control solution
Video analytics and smart access
Operations-focused computer vision flow for intelligent access, event detection, and security visibility.
- Real-time alarm and event recording
- Site, plaza, parking lot and security areas
- See industry-based usage
Heatmap, counting and retail analytics
Measurable analytics layer for footfall, occupancy, queue and visitor insight scenarios.
- Anonymous and privacy-friendly reporting
- Retail, shopping mall, fair and venue operations
- Review questions in the resource center
Infereal Media Tools
Infereal Media Tools; is our separate product line that offers browser-based tools for image, PDF and document streams. User; It can perform compress, resize, convert, OCR, remove background and PDF operations directly on its device.
- Image, PDF and document tools consolidated into one surface
- The processing flow runs within the browser; files do not leave the device
- Media enhancement area Connects to the same product family as
Featured Infereal tools
- Compress, resize and format conversion
- Remove background, OCR and object detection
- License plate blur, scan document and PDF tools
Infereal brings Infereal's media enhancement and privacy-first processing approach to a self-serve product surface.
Technology in the field, architecture clearly explained
We handle discovery, architectural design, device selection and operation management within the same technical framework.
Reconnaissance and camera mapping
Angle, light, data flow and privacy expectations are determined. Process page This details the delivery.
PoC and benchmark
Latency, FPS, detection quality and edge suitability are verified in the field. This stage reduces business risks.
Runtime selection
Technology page Explains Jetson, Raspberry Pi, industrial PC and kiosk deployment options.
Monitoring and iteration
Alarm, dashboard, log and continuous field improvements; It keeps the system alive after deployment.
Sector-based solution approach
Same technology; It meets different needs in retail, production, security and event operations. That's why we clarify each usage area separately.
Retail and shopping mall
Person counting, queue analytics, heatmap, campaign attention and occupancy scenarios.
Retail use casesManufacturing
Defect detection, anomaly inspection, visual QA and production monitoring scenarios.
Inspection solutionssmart access
Face recognition, plate recognition, access events and controlled entry flows.
Access systemsEvents and venues
AI mirror, kiosks, branded experiences and anonymized visitor insight streams.
Reference workDelivery quality clarified by references
Testimonials embody how the solution works in the field and how it affects the operational outcome.
What has been strengthened?
- Problem-solution pairs were used instead of vague product language.
- The words field, deploy, device, privacy and monitoring have been clarified.
- Case-focused references It makes it easier to match the right solution.
References speed up the decision process
Seeing what works in similar fields clarifies technical and commercial prospects more quickly.
Open resource centerFrequently asked questions
This section gives short and clear answers to the questions we hear most during the first interview.
Why is Edge AI important?
Because inference works on the field device; It provides less dependency on the connection, lower latency and higher data privacy.
What devices does Infereal deploy with?
Depending on the usage scenario, it can work with Jetson, Raspberry Pi, industrial edge PC, kiosk and web dashboard layers.
What should be the first step for computer vision projects?
A short discovery meeting where camera angles, lighting, data policy and operational goals are clarified. For later contact page is used.
Is reporting possible without cloud?
Yes. In many projects, inference and initial data processing remain local; If necessary, a controlled central dashboard flow is established later.
Choose the right starting point according to your needs
You can review solution packages, see industry scenarios or schedule a direct discovery meeting.