headcount.in

What It Is

headcount.in is an AI face-recognition attendance tool built for factory environments in India. Its pitch is: “Free attendance. Face recognition. Zero hardware.” Users only need to mount any Android 8+ phone or tablet at the entrance; workers are automatically recognized by the camera as they pass by and their attendance is recorded. The product emphasizes that it requires no fingerprints, no dedicated attendance machine, and no per-employee fees.

Core Capabilities

Its AI capabilities focus on face recognition and liveness detection. The page claims recognition takes under 200ms with 99.2% accuracy, and that it uses FASNet Anti-Spoofing on-device to detect photos, screen replays, and masks, helping reduce proxy clock-ins. The system also supports a real-time dashboard showing attendance, late arrivals, breaks, overtime, and monthly payroll. On the voice side, it is not real-time TTS; instead, it uses pre-generated audio in local languages such as Hindi, Telugu, Tamil, Marathi, Kannada, and Bengali, making it suitable for workers who may not find reading screens convenient.

Pricing and Deployment

Basic attendance, face recognition, and payroll features are free forever. The page clearly states that there is no trial period, no expiration, and no per-employee charge. Premium is optional and includes multi-site support, WhatsApp reminders, and advanced reports, priced at ₹499/month. For hardware, businesses can reuse old Android phones, or choose budget phones, tablets, or rugged industrial tablets. Overall deployment costs are significantly lower than with traditional biometric attendance machines.

Pros and Cons

The main advantages are its low barrier to entry, simple hardware requirements, offline operation, and local liveness detection, making it especially well suited to the cost structure and language environment of small and medium-sized factories in India. Its dashboard covers attendance, breaks, and payroll statistics, making it more complete than a simple clock-in device. Limitations include the lack of disclosed details on APIs, third-party HR/ERP integrations, data encryption, and compliance certifications. The voice feature is based on pre-recorded phrases, so flexibility is limited, and the claimed recognition accuracy does not come with testing conditions.

Who It’s For and Access from China

It is best suited to local Indian factories, textile plants, and small manufacturing businesses looking to replace fingerprint machines or low-end attendance devices. For Chinese companies, support for a Chinese interface, Chinese voice prompts, local payment methods, and network accessibility is not specified, so access from China should be considered unknown. If deploying in China, DingTalk, WeCom, Feishu attendance, or local face-recognition attendance hardware are usually more practical alternatives.