RackFalcon delivers identity-verified physical access logging for data center cabinets and cages, solving a major security and compliance gap in colocation environments. Traditional badge swipes and facility logs can’t reliably prove who was present at specific infrastructure, for how long, or why.
After validating their concept using Axis network cameras, RackFalcon encountered scaling challenges: no remote updates, no rotating authentication tokens, limited health monitoring, and manual deployment workflows. Moving beyond prototype required a more secure and operationally robust edge solution.
The FixedIT Data Agent provided a structured edge runtime that abstracts the low-level ACAP and AXIS OS complexity while remaining fully self-hosted and under RackFalcon’s control. It enabled secure and simple provisioning, outbound-only communication, and faster iteration without building and maintaining deep embedded infrastructure expertise.
Using the FixedIT Data Agent, RackFalcon accelerated their rollout by months and achieved plug-and-play, scalable identity-verified access logging for real-world data centers. Read the full case study here to learn how it all came together.
AiTecServ’s wildfire and flood detection system leverages advanced computer vision, seamlessly integrated with Axis cameras for real-time early detection. This powerful solution sends alerts through multiple channels and automates critical responses—such as controlling alarms, traffic lights, doors, and gates—ensuring immediate action when every second counts.
With the offering from FixedIT.ai, AiTecServ transformed complex deep learning models into a rugged, user-friendly edge solution. By utilizing native camera features like video overlays in an ACAP and combining it with the power of Axis Camera Station, end-users enjoy a seamless, reliable experience.
Partnering with FixedIT.ai, AiTecServ’s data scientists rapidly deployed their software on Axis cameras, bringing a robust solution to market in record time. Read the full case study here to learn how it all came together.
Discover how Voxela’s next-generation VCare system transformed caregiving in nursing homes and assisted living facilities. With flawless ACAP integration, the VCare system became easier to install and deploy, offering real-time alerts for bed exits and falls—helping caregivers provide faster, more responsive care.
FixedIT.ai simplifies the integration of ACAP edge applications with AWS cloud services. This allowed Voxela to streamline setup and ensure reliable performance, making cutting-edge technology accessible to more seniors.
Curious about how it all came together? Read the full case study to learn how Voxela and FixedIT.ai worked together.
Across industries, the pattern is the same: organizations want faster response, less network congestion, and fewer moving parts. Running analytics on the camera (“edge analytics”) can reduce dependency on servers and cloud processing while enabling real-time triggers and metadata-driven workflows. Some customers value privacy and compliance while other value the technical benefits. But almost everyone have embraced edge analytics.
When built-in camera analytics are too rigid, FixedIT enables custom behavioral logic directly on Axis IP cameras.
From advanced loitering variants for fisheye deployments to timeline-based movement analysis and context-aware reasoning, we help security teams deploy edge intelligence tailored to their environment.
System integrators, city departments and utility operators use FixedIT to implement specialized detection and workflow logic where standard applications fall short. This enables precise, real-time responses directly at the edge, without reliance on centralized infrastructure.
Read our case study with RackFalcon to see how they make use of the FixedIT Data Agent when building secure physical entrance monitoring for data centers.
Manufacturers use camera-based workflows to improve operational visibility and safety. Combining automation triggers, integrations, and edge inference where latency and reliability matter. FixedIT supports building and scaling those workflows directly on Axis devices using custom trained deep learning models.
You can read our blog post here about how QR codes can be used to detect the position and existence of tools, objects and machine components. You can also read this blog post about the future of smart cameras and edge AI.
Our FixedIT Data Agent can be used together with our custom dashboard integration to build time-series analyses and operational dashboards for process monitoring and optimization. Sign up for this webinar to learn more!
Run real-time pixel-wise segmentation of video data to measure size, shape and position of objects or substances.
Pixel-wise segmentation using AI models can detect each pixel belonging to an organically shaped object or substance.
This can be used in automation and visual verification workflows.
In logistics, common needs include barcode/QR workflows, automated identification, and timeline-based activity analytics to downstream systems. FixedIT’s ecosystem explicitly includes barcode reader-style edge analytics concepts that can be used both for inventory tracking and yard access control. Our applications also extend to people-based analytics to understand where people are located and where they are going. Our customers use our offering to build their own custom extensions for activity recognition and custom trained object detection.
In both logistics and manufacturing, tracking items is crucial. Our state of the art edge application helps automate processes by detecting QR codes, barcodes, and reading plain text on labels using Optical Character Recognition (OCR). It seamlessly decodes multiple items and sends data triggers over MQTT, ensuring smoother operations with minimal manual intervention.
Schools, professional education facilities and healthcare environments benefit from faster alerts and smarter workflows such as operational triggers and safety-oriented monitoring. Remote monitoring saves time, allows a single operator to monitor multiple locations at once and gives the patients or students the confidence in that they're not alone. For educational purposes, recording video sessions and storing them for later review with the team or group of students is a common use case.
Both the team at FixedIT and our customers have built edge-based solutions specifically to address these needs. You can read our case study about how Voxela is transforming caregiving with privacy friendly (anonymized) elderly monitoring with features such as fall detection.
Accessing video from cameras that are spread across a large geographical area can be daunting and the configuration and setup needed when connecting the camera to a new network can be a hassle. For this customer, who used the Wowza streaming engine, we created an ACAP that is capable of pushing RTMP video to the streaming server. Simply connect the camera to the network and the streaming will start, and since all traffic is outgoing, no port forwarding is needed. The intelligent application can talk directly to the server and control functionalities such as pan-tilt movement and zoom.
This application simplified the camera on-boarding for a customer who is doing their video analytics in the GCP and AWS cloud. Differences in camera configurations are a thing of the past since this application will correctly configure the camera and start a recording based on a profile. This saves time from configuration of cameras and eliminates the downstream problems of misconfigured devices.
As new video segments are recorded, they are automatically uploaded to the customer's cloud service.
We have modules for uploading data to Google Cloud Platform's GCS, Amazon Web Service's S3 and file upload using SSH/SCP/SFTP to self-hosted servers.
Beyond traditional security, video and sensor-driven analytics can support environmental monitoring, resilience use cases and ecosystem and biodiversity protection. Our customers are using the FixedIT technologies to monitor wildlife in both remote areas and wind farms, ensure compliance with fishing regulation and predict and detect flooding and forest fires. Read our case study with AiTecServ how they are detecting wildfires and flooding directly in the Axis cameras.
Using a custom trained deep learning model to detect objects and automatically control the camera's Pan-Tilt-Zoom can be valuable in many domains. We have created multiple variants of this application where we either control the mechanical PTZ in a camera (the AI model is seeing the same view as you) or by using digital PTZ for a separate view area which allows the model to continuously monitor the overview while the remote video stream contains only the object of interest.
FixedIT provides you with the resources and skills needed to train your own models on your datasets. An example can be seen in our video on YouTube.
With our help you can take your Axis camera integration to the next level. Tell us more about your needs and we will connect you with a developer to get you the right information.
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