Services
Vision AI Solutions
Digicane Vision AI turns cameras into operational intelligence — package counting, anomaly detection, compliance monitoring, and quality checks using modern computer vision models.
How it works
- 01Connect existing CCTV or industrial cameras
- 02Train or fine-tune detection models for your SKUs and scenes
- 03Deploy edge or cloud inference with alerting
- 04Export proofs, counts, and integrations to WMS/ERP
Timeline
- Weeks 1–2: Site survey, camera inventory, and success metrics
- Weeks 3–5: Model training or fine-tuning on your scenes
- Weeks 6–8: Edge/cloud deploy, alerts, and WMS export pilot
- Week 9+: Accuracy review and production hardening
Risks & mitigations
- Poor camera angles or lighting — mitigated with a site survey before build.
- SKU or packaging drift — mitigated with periodic retraining and spot checks.
- Network or edge hardware limits — mitigated with latency budgets and fallback paths.
Outcomes
- Higher counting accuracy in warehouses
- Faster exception detection on the floor
- Image artifacts as proof for audits
Frequently asked questions
What is Vision AI for business?+
Computer vision systems that detect, count, and classify objects or events from video and images to automate operational decisions.
Do we need new cameras?+
Often no — we integrate with existing CCTV and add inference where it fits your network and latency needs.
Edge or cloud — which should we choose?+
Edge for low latency and bandwidth limits; cloud when you need centralized training and multi-site aggregation.
How accurate is package counting?+
Accuracy depends on camera angles, lighting, and SKU variety; we calibrate on your floor and report measured precision/recall.
Can Vision AI export to our WMS?+
Yes. Counts, exceptions, and image artifacts can be pushed via APIs, files, or message queues your WMS already accepts.
What about lighting and occlusion?+
We assess site conditions up front and adjust placement, thresholds, or model training when scenes are difficult.
How are audit proofs stored?+
Annotated frames or clips are retained per your retention policy and linked to the count or exception event.
See this solution in your stack
We’ll map integrations, controls, and a pilot path for your team.