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We evaluate the physical location (factory, store, street) to determine the exact camera angles, lighting rigs, and edge computing hardware required for the vision task.
We take base computer vision models (YOLO, ResNet) and adapt them to your specific environment, ensuring they can handle the exact lighting and occlusion conditions of your site.
We configure the edge devices (e.g., NVIDIA Jetson) that will run the AI locally, writing the C++ or optimized Python code necessary to hit the required frames-per-second.
We build the integration layer that takes the AI's output and translates it into actions—such as sending a signal to a PLC controller or logging an event in your ERP system.
We set up the infrastructure to monitor the health of remote cameras and edge devices, allowing us to push updated, smarter AI models to the fleet over-the-air without downtime.
We build custom web dashboards that aggregate the visual data from across your locations, turning raw detections (e.g., 'Person detected') into business metrics ('Average wait time: 4m').
We believe in radical transparency. You'll always know where your project stands and what comes next.
Progress reports every week
Communicate with your team
Clear deliverable checkpoints
Complete technical handoff
Let's begin with a conversation about your project goals.