Camera-based counting and inspection for the factory floor
A computer vision development company building camera systems that count, inspect and recognise, tested on footage from your own plant before go-live.
DPIIT-recognised · Engineering team in Pune, India · Clients in manufacturing, education and e-commerce
Trusted by Leading Organisations
Two of our vision products, as the people using them see them every day.
One camera watches the mould. It counts every part and catches blank shots. No sensors, no wiring.
Android and iOS app for every employee, HR and staff: live headcount, attendance, approvals and face enrolment.
A computer vision development company designs and implements visual intelligence systems that automate quality inspection, object tracking, and security verification. Sucetas Technologies deploys camera-based edge models for industrial production lines and contactless face recognition attendance systems across manufacturing plants in India, replacing manual visual checks with automated verification.
Visual inspection on high-speed manufacturing lines is prone to human fatigue, and manual gate attendance creates bottlenecks. As a computer vision development company based in Pune, Sucetas Technologies deploys camera-based inspection systems that operate in real time on the factory floor.
Our solutions include ai quality inspection for discrete manufacturing, detecting surface blemishes, mold defects, and assembly errors within milliseconds. As an experienced computer vision company in india, we build systems that withstand harsh factory lighting and dust conditions.
We also engineer our proprietary face recognition attendance system, providing multi-plant manufacturers with sub-second, contactless employee authentication without physical cards or fingerprint sensors.
These are the problems teams bring to us before a computer vision solutions project.
See what changesA computer vision development company building camera systems that count, inspect and recognise, tested on footage from your own plant before go-live.
Systems running in production for our clients, with the results they measured.
“Sucetas Technologies has delivered three automation projects across our manufacturing facility, and each one has streamlined how our shop floor runs and improved our overall efficiency. Their team brings real expertise, stays committed and works alongside ours as genuine collaborators. They have been a valuable partner in our digital transformation and have helped us take real steps towards a smarter, more digitised plant.”
Abhijeet MoreFounder, Tech Arch Autocomp Pvt. Ltd.“Working with Sucetas Technologies feels effortless, and that comes down to their people. The team is skilled, passionate and genuinely proactive. Their dedication to quality shows in every delivery, which is exactly why we see them as a reliable technology partner.”
Manohar NimbolkarFounder & Managing Director, Mplussoft TechnologiesEvery engagement follows the same four stages, so you always know what comes next.
We study the line, lighting and camera positions, and agree exactly what the system must detect.
We record footage from your own machines and train the models on it.
We run a trial on a limited set of machines and measure accuracy against manual checks.
We extend to the rest of the line, train supervisors and monitor accuracy after launch.
The sectors our clients come from, and what this work looks like in each.
At Tech Arch Autocomp, a camera in front of each molding machine counts parts, catches failed shots and logs every stoppage.
Manufacturing solutionsA camera at the packing station checks each order's contents against the order before dispatch.
E-commerce and D2C retail solutionsFace-recognition attendance at campus entrances, with daily registers produced automatically.
Education solutionsPowered by cutting-edge technologies and trusted platforms to deliver exceptional experiences
Full product overviews as PDFs, to read offline or share with your team.
One camera per machine tracks production, blank shots, downtime with reasons and OEE, with the live dashboard and recordings.
PDF, 8 pages, 1.3 MB
Face recognition attendance, shifts and overtime, leave, contractors, payroll and the employee mobile app, in one system.
PDF, 7 pages, 989 KB
Clear answers to technical scope, engagement models, timelines, and deployment.
Yes. By utilising hardware-accelerated edge inference on NVIDIA Jetson or dedicated industrial GPUs, our vision pipelines process high-resolution frames in 15 to 40 milliseconds, easily keeping pace with automated conveyor speeds.
Our models utilise infrared and wide-dynamic-range cameras combined with anti-spoofing neural networks, ensuring accurate recognition under variable shifts, dim lighting, and direct sunlight.
We support standard industrial GigE Vision, USB3 Vision, RTSP IP cameras, and CSI-connected sensors from leading manufacturers like Basler, FLIR, and Hikvision.
We use unsupervised anomaly detection techniques trained on normal parts, flagging any deviation from acceptable tolerances without requiring thousands of pre-labeled defective samples.
Tell us what you need. You will speak with the engineers who would build it, in Pune.
An engineer, not a salesperson, reviews what you sent and replies within one working day.
We walk through your process, data and constraints, and tell you plainly if we are not the right fit.
Scope, milestones, timeline and a fixed quote, so you can decide before any work starts.
Discuss scope, feasibility, and architecture with our engineering team. We reply within 24 hours.
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