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TS Tactile Sensing Unit is a tactile perception product independently developed by Tashan Technology for use in various fields. It simulates the physical properties and tactile perception capabilities of human skin, enabling the perception of shape, position, and material of objects. In fields such as health, entertainment, and electronics, tactile perception can greatly enhance product interaction experience and intelligence, offering strong versatility, high perception accuracy, and stable precision.

OUR PRODUCTS

Product Characteristics

High Precision & Material Recognition

Tashan Technology's tactile sensors support one-dimensional to three-dimensional force measurement, with force resolution accuracy up to 0.01N, and can achieve non-contact material recognition, identifying more than 30 types of materials.

Dynamic Collaborative Perception & Dynamic Collaborative Control

Tashan Technology's AI tactile-specific chip is based on the R-SpiNNaker architecture, supporting on-chip single-core or dual-core and small-scale distributed SNN. The flexible distributed architecture can support collaborative perception of different scales and low-latency collaborative computing, enabling dynamic collaborative perception and control for tactile sensors/electronic skin with zoning and grading.

Proximity Perception & Non-Contact Sensing

Based on the principle of capacitance field effect, Tashan Technology's tactile sensors achieve high-resolution non-contact perception and proximity sensing, supporting near-field object recognition and perception.

Cost-Eectiveness & Scalability

The underlying chip of Tashan Technology's tactile sensor adopts the R-SpiNNaker's quad-core neuromorphic chip architecture,keeping the number of neurons simulated by a single tactile unit below 128, greatly reducing manufacturing costs, making the product suitable for large-scale commercial promotion while maintaining high performance.

WHY CHOOSE US

Biological Neuromimetic Haptics, Opening a New Dimension of Perception

Tashan Technology pioneered the integration of bionic neural architecture and multi-dimensional sensing algorithms, combining the precision of human touch with industrial reliability, to give robots and intelligent devices “visible touch and thinking hands”.

FAQ'S

Frequently Asked Questions

Key Tech: Uses AI tactile chips (e.g., Ruby Chip) for real-time 3D force sensing (0.01N precision) and adaptive grip strategies.

Non-contact tailgate sensors (0.1s response) and steering wheel grip detection.Cut component costs by 30% via edge computing integration.

2cm air-gap capacitive tech deployed in hospital elevators.Extendable to medical interfaces with antibacterial coatings.

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