Custom vision models for quality control, retail analytics, medical imaging and more.
We build computer vision systems that see the difference between a good part and a bad part, an empty shelf and a full one, a healthy scan and a suspicious one.
T7 Solution designs computer vision pipelines end-to-end: data collection, labelling, model training, edge/cloud deployment and monitoring. We work across classification, detection, segmentation, OCR, pose estimation and generative imagery.
For factory floors we deploy on NVIDIA Jetson and industrial PCs; for retail we run on cloud with camera feeds; for imaging we integrate with PACS and DICOM. Every project ships with a labelling workflow so your model keeps improving.
We also build generative imagery pipelines — virtual product photography, background replacement and try-on — for e-commerce and marketing teams.
Surface, dimensional and assembly defects on production lines.
People, vehicles, SKUs, PPE — real-time on video streams.
Pixel-level masks for medical, satellite and industrial imagery.
Virtual photography, background replacement, try-on and augmentation.
NVIDIA Jetson, Intel OpenVINO, Coral TPU — offline, low-latency.
Active learning loops, drift detection and continuous labelling.
Automated visual QC on manufacturing lines with instant reject signals.
Planogram compliance, out-of-stock detection and share-of-shelf.
Assist radiologists with detection and triage across modalities.
AI-generated on-model and lifestyle imagery for e-commerce.
E-commerce / Retail
A fast-growing D2C brand was launching 400+ new SKUs per month. Each SKU needed a full studio shoot — models, sets, retouching — and photography was the single biggest bottleneck between design and go-live, often adding 3–4 weeks per drop.
T7 built a generative virtual photography studio: a fine-tuned Stable Diffusion pipeline with brand-consistent models, backgrounds and lighting, plus a review workflow for the creative team. Products go from a flat lay to on-model and lifestyle imagery in hours instead of weeks.
Content production cost dropped by 62%, time-to-listing fell from ~3 weeks to under 4 days, and the creative team shifted from shoot logistics to brand direction.
"We stopped booking studios. What T7 built isn't a filter — it's a proper on-model photography pipeline that matches our brand book better than most agencies did."
Camera placement, lighting, labelling schema — we get the physical setup right.
Baseline + iterations with active learning; ship at target precision/recall.
Edge or cloud, integrated with PLC, POS, PACS or your app.
Drift detection, edge-case capture and continuous retraining.
For most industrial tasks, 500–2000 labelled images per class is enough with modern architectures and augmentation.
Yes. Edge deployment on Jetson or industrial PCs runs fully offline with local inference.
For tuned industrial tasks, 99%+ recall on defects is realistic. Medical and safety-critical use cases need more rigorous validation.
Yes — via OPC UA, MQTT, REST or direct PLC I/O. We've integrated with Siemens, Rockwell and Mitsubishi stacks.
We can run the full labelling workflow through our team and tools (Label Studio, Roboflow, CVAT), or train your ops team to label in-house. Active learning means later batches need far fewer labels.
NVIDIA Jetson Orin for most industrial jobs, Intel OpenVINO on x86 industrial PCs where you already have them, and Coral TPUs for ultra-low-power cases. We benchmark inference latency and pick per site.
Yes — we design the data collection and augmentation pipeline to cover variance, and monitor drift in production so accuracy holds when conditions change.
Yes. We build on NVIDIA DeepStream and custom pipelines for real-time video, multi-stream tracking, re-identification and event detection across dozens of cameras per site.
Where real defect samples are rare (which is common), we generate synthetic images with Stable Diffusion, 3D rendering or domain randomisation — often the difference between a shipping model and a stalled one.
Weekly drift + accuracy reports, edge-case capture from production, monthly retraining and a managed model registry. Most clients stay on a retainer once the model is live.
Production ML for forecasting, churn, risk and pricing — trained on your data.
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Use cases we ship it in, industries that buy it, insights behind it, and comparisons to reason through.
Sub-second defect detection on the line — with a governance trail.
Real-time fraud scoring across payments, claims and identity.
SKU-level forecasts that release working capital, not just improve MAPE.
AI for the factory floor
AI for power, oil, gas and renewables
Jetson, OpenVINO, Coral and the model-optimisation tricks that make production CV run offline at the plant.
How mid-market Indian manufacturers are deploying computer vision quality control and predictive maintenance — with realistic timelines, ROI and rollout patterns from T7 engagements.
OpenAI direct vs Azure OpenAI for enterprise
Self-hosted open-source LLM vs managed frontier API
Talk to a senior AI consultant from T7 about your industry, workflow, or product idea. Free, no commitment — reply within one business day.